topical reviews
Trends in coordination of rhenium organometallic complexes in the Protein Data Bank
aChemistry Department, University of the Free State, Nelson Mandela Drive, Bloemfontein, South Africa, and bDepartment of Chemistry, The University of Manchester, Oxford Road, Manchester, United Kingdom
*Correspondence e-mail: brinka@ufs.ac.za
We dedicate this article to the Protein Data Bank on the occasion of the 50th anniversary of its commencement. Our article provides a detailed overview for the particular group of crystal structures in the PDB that involve rhenium compounds and also illustrates the wide-ranging impact that the PDB archive has, even with this one group, upon medical therapy and medical imaging.
Radiopharmaceutical development has similar overall characteristics to any biomedical drug development requiring a compound's stability, aqueous solubility and selectivity to a specific disease site. However, organometallic complexes containing 188/186Re or 99mTc involve a d-block transition-metal radioactive isotope and therefore bring additional factors such as metal oxidation states, isotope purity and half life into play. This topical review is focused on the development of radiopharmaceuticals containing the radioisotopes of rhenium and technetium and, therefore, on the occurrence of these organometallic complexes in protein structures in the Worldwide Protein Data Bank (wwPDB). The purpose of incorporating the group 7 transition metals of rhenium/technetium in the protein and the reasons for study by protein crystallography are described, as certain PDB studies were not aimed at drug development. Technetium is used as a medical diagnostic agent and involves the 99mTc isotope which decays to release gamma radiation, thereby employed for its use in gamma imaging. Due to the periodic relationship among group 7 transition metals, the coordination chemistry of rhenium is similar (but not identical) to that of technetium. The types of reactions the potential model radiopharmaceutical would prefer to partake in, and by extension knowing which proteins and biomolecules the compound would react with in vivo, are needed. Crystallography studies, both small molecule and macromolecular, are a key aspect in understanding chemical coordination. Analyses of bonding modes, coordination to particular residues and crystallization conditions are presented. In our Forward look as a concluding summary of this topical review, the question we ask is: what is the best way for this field to progress?
Keywords: organometallic complexes; proteins; rhenium; technetium; radiopharmaceuticals; radioisotopes; transition metals.
1. Introduction
Drug development is a complex study involving multiple factors. The development of one new medical product, from its discovery to the time it is made available for the treatment of patients, takes on average 10–15 years, with an average cost of $800 million to $1.6 billion to research and develop each successful drug. For every drug that receives approval, an estimated 10 000 compounds have entered the research and development pipeline and been discarded for particular reasons (PhRMA, 2015; Eckstein, 2005; Tonkens, 2005; Torjesen, 2015). Research typically selects a `target' for a potential medicine, which is generally a single molecule (e.g. a gene or protein) that is involved in a particular disease. It is important to confirm how a chosen target is involved in the disease and whether it can interact and be affected by a drug molecule. The search for a promising molecule or `lead compound' can now be undertaken with the hope that the disease can be arrested. Lead compounds are assessed early on for safety according to their pharmokinetics or absorption, distribution, metabolism, excretion and toxicity (ADME/Tox) properties, whereby the function and performance of hundreds of different compounds are tested in vitro (Ruiz-Garcia et al., 2008; Tuntland et al., 2014; Chung et al., 2015). Due to the existence of libraries of compounds with known pharmacokinetic properties, it is possible to generate predictive models through machine-learning techniques. This has been successfully employed in pharmacokinetic studies and is helping the complex process of designing new drug candidates from the use of reliable machine-learning models and from studies of quantitative structure–activity relationships (Maltarollo et al., 2015).
Traditionally, medicinal chemistry has focused on organic, not inorganic, chemistry. The potential role of organometallic complexes, relatively speaking, has been neglected. The inclusion of metal atoms significantly increases the variety of building blocks which can be made, but at the same time increases the complexity of mechanistic behaviour, protein coordination, stability etc., hence the reason for their minority within the drug market (Nogrady & Weaver, 2005). In radiopharmaceutical development, whereby the model complexes contain a radioactive isotope, additional factors must be considered such as isotope purity, half life, the cost and availability of the isotope as well as radiation dose (Liu, 2004). Our interest is in the development of radiopharmaceuticals containing the radioisotopes of technetium and rhenium. Technetium in the form of 99mTc decays to release gamma radiation and is thereby employed for its use in gamma or single photon emission computed tomography (SPECT) imaging. It is widely utilized for diagnostic nuclear medicine with 80% of current radiopharmaceuticals administered clinically containing this radioisotope (Liu, 2004; Kluba & Mindt, 2013). The 99mTc isotope is routinely used in brain (Jurisson et al., 1993; Dilworth & Parrott, 1998), heart (Holman et al., 1984; Gerson et al., 1983), bone (Dilworth & Parrott, 1998) and thyroid (Dodds & Powell, 1968) imaging. Moreover, the isotope is being investigated for selective cancer imaging and multidrug resistance (Piwnica-Worms et al., 1995; Herman et al., 1995; Goffin et al., 2017; Monteiro et al., 2017; Lin et al., 2018). Due to the chemical periodic relationship among group 7 transition metals, the coordination chemistry of rhenium is similar (but not identical) to that of technetium. This similarity is advantageous as it allows bifunctional chelating ligands that have been developed for 99mTc to be used for rhenium and vice versa. The advantage of working first with rhenium is that experimental synthesis can be conducted on a non-radioactive `cold' isotope (whereas all technetium isotopes are radioactive), and thus permits detailed chemical and reactivity analysis without the hazards of using the radioactive isotopes 186/188Re, 99mTc and 99Tc. There are two rhenium radionuclides utilized in therapeutic nuclear medicine, namely 186Re and 188Re, which function by means of β-irradiation. Rhenium complexes have been developed for bone metastasis (Lam et al., 2009; Liepe et al., 2005), liver cancer (Lambert et al., 2005) and as steroid mimics (Chi & Katzenellenbogen, 1993; Chi et al., 1994; DiZio et al., 1992). Investigating the fundamental chemical behaviour of a given chemical complex is necessary to predict what types of reactions the potential model radiopharmaceutical would partake in and, by extension, know which amino acids in proteins and biomolecules the compound would react with in vivo. These structure–function–reactivity studies, both within small-molecule and macromolecular research fields, are a key aspect to predicting and/or optimizing chemical coordination. These properties are utilized in the field of fragment-based drug development and high-throughput screening (Erlanson, 2012; Murray et al., 2012; Joseph-McCarthy et al., 2014).
The various differences between small-molecule and macromolecular crystallography methods, software and results often inhibit cross utilization, i.e. the interoperability of the data (Brink & Helliwell, 2019b). New software-usage trends, such as with GOLD (Jones et al., 1997) or CSD-CrossMiner, both developed by the Cambridge Crystallographic Data Centre (CCDC) (Groom et al., 2016), are improving this interdisciplinary and interoperability data usage. This review focuses on protein structures found in the Protein Data Bank (PDB) that contain a rhenium or technetium metal centre. Our aims are to better understand:
(a) the chemical basis of this transition-metal family in its interactions with biological molecules;
(b) the effects that a non-natural metal may have within an organic macromolecular model;
(c) whether any possible chemical trends can be identified from the biological structural data; and
(d) the likely stability or even strict relevance of the measured structural data, such as that involving the specific crystallization conditions used and tabulated in Table 1. As a simple question we ask: does the pH used for crystallization match the pH values seen in the human body? For example, stomach acid pH is ∼1 and the pH of the blood is 7.4. Many protein crystals are grown according to the general principles of macromolecular crystallization and crystal perfection, optimized by technique and technologies to measure the best possible diffraction data as described in Chayen et al. (2010). As Table 1 documents, a good fraction of the crystals are grown at or around pH 7. There are none for pH 1 however, i.e. the relevant pH if a compound was to be administered orally and therefore should be chemically stable within the stomach.
‡Formal bonds observed between the protein residue and metal centre as indicated by the authors. §As viewed with RCSB PDB's NGL ligand viewer and mentioned by the authors. |
In our Forward look as a concluding summary of this review, the question we ask is: what is the best way for this field to progress? Several chemical mechanistic studies have focused on protein–metal coordination and selectivity for rhenium (Zobi & Spingler, 2012; Santoro et al., 2012; Takematsu et al., 2013; Brink & Helliwell, 2019a, 2017; Binkley et al., 2011), for platinum (Messori & Merlino, 2016; Tanley et al., 2014; Wang et al., 2017) or for rhodium (Loreto et al., 2021; Abe et al., 2009; Daubit et al., 2020). However, protein–ligand (i.e. the organic ligand bound to the organometallic complex) interactions may too play a role. Each of these mechanisms will have a direct effect on the viability of the complex as a radiopharmaceutical and on the design of the next iteration of potential model radiopharmaceuticals. Theoretical calculations describing the reactivity binding of rhenium complexes to biomolecules (Oliveira et al., 2013; Aliyan et al., 2017; Carreño et al., 2021), as well as continued structural evaluations of future PDB entries, would indicate if there are new trends forming a mechanistic driving-force preferential for either protein–metal or protein–ligand coordination.
2. Overview of the purposes of the depositors of these crystal structures
Table 1 presents all the rhenium-bound protein crystal structures in the wwPDB including key crystallographic and synthetic aspects. A list of amino-acid residues directly bound to the rhenium metal centre as well as weak interactions from the protein to the organic ligand of the organometallic complex are specified. Where the structure factors were made available we have also examined any uninterpreted residual-difference electron-density features and offer appropriate comments. We also include the crystallization conditions used for each PDB entry.
The purposes of the protein studies listed in the wwPDB that contain rhenium metal centres show a variety of applications. These have included (i) multi- or single-wavelength i.e. NMR, infra-red spectroscopy or mass spectrometry). However, the protein structures currently available in the PDB only include rhenium, not technetium.
(MAD or SAD) phasing using relatively simple rhenium compounds, (ii) and/or electron tunnelling or (iii) for medical applications. We describe all three aspects and highlight key observations made either by the authors or through our examination of the data. Many studies have included the investigation of both rhenium and technetium with their respective biological activity and confirmed the presence of technetium via alternative methods of characterization (2.1. Rhenium for MAD or SAD phasing
The purpose of rhenium in these protein structures was for MAD or SAD phasing and not the medical application of the metal's effects. However, that said, within this review's objective of extracting coordination data, these protein structures make a valuable contribution to possible trends for preferential binding sites and thereby expand the medical-application potential. The protein structures (with PDB codes and citations given in parentheses) that involved rhenium for phasing used relatively simple rhenium compounds: [ReCl6]2− (3lya, Eichinger et al., 2011; 6f9p, Bastard et al., 2018), perrhenate [ReO4]− (1hnu, Mursula et al. 2001; 1k4j, Watson et al., 2002) or fac-[Re(CO)3]+ (5k1j, Ciccone et al., 2016), all of which are commercially available starting complexes and are readily soluble in water. Hence, interest in the specific chemistry of rhenium (i.e. oxidation states, coordination, stability etc.) was not considered a research priority of these particular studies. Variation in protein–metal coordination is found across this group, such as for 1hnu where rhenium is bound to the active site of the enoyl-CoA isomerase. Structure 5k1j has rhenium coordinated at His88, as well as being present at multiple sites in varying low occupancy. The study 3lya altogether shows 16 bound [ReCl6]2− ions to residues including histidine, tryptophan, aspartic and glutamic acid. The study 6f9p, also utilizing [ReCl6]2−, found that the rhenium retains only one chloride and its ligands are replaced by amino-acid interactions, notably two histidines, i.e. a special case for this particular protein (Fig. 1).
2.2. Rhenium-based crystal structures for studying and/or tunnelling
Electron tunnelling is a quantum mechanical phenomenon that occurs when electrons move through a barrier that classically should not be possible to traverse. In proteins, electron tunnelling can move electrons between donor and acceptor sites separated by distances ranging from 10 to 30 Å on a millisecond or even femtosecond time scale (Stuchebrukhov, 2010; Tezcan et al., 2001). As an example, protein structures 2i7o (Shih et al., 2008), 6mjs, 6mjt and 6mjr (Takematsu et al., 2019) reported the use of a rhenium(I) tricarbonyl complex, fac-[ReI(CO)3], in a mutant Pseudomonas aeruginosa azurin to examine the electron-transfer capability between distant metal redox centres within the protein. In 2i7o the rhenium complex [ReI(CO)3(dmp)] (dmp = 4,7-dimethyl-1,10-phenanthroline) was attached to the histidine-124 residue (Fig. 2). The 1.5 Å resolution of the Re-labelled protein shows that the ligand (dmp) and the trypophan-122 indole group are near van der Waals interaction distances (∼4 Å), and the Cu–Re distance is 19.4 Å. Structures 6mjs, 6mjt and 6mjr are coordinated to the His126 via the imidazole N ring bonded to the octahedral fac-[Re(CO)3]+ moiety in the sixth ligand position. Additional studies [1i53, Di Bilio et al. (2001); 1jzi, Crane et al. (2001); 1r1c, Miller et al. (2003); 2fnw, Blanco-Rodríguez et al. (2006); 4k9j, Takematsu et al. (2013); 3ibo, Blanco-Rodríguez et al. (2006); 2i7s, Blanco-Rodríguez et al. (2009)] similarly show the direct coordination of the fac-[ReI(CO)3] core to the protein via the histidine imidazole moiety.
2.3. Medical applications
Technetium and rhenium can exist in a range of oxidation states ranging from +7 to −1 (rhenium can range further to −3). Due to technetium's (99mTc) ideal radiodiagnostic properties (i.e. a half life of 6.02 h, gamma radiation of 141 keV and sourced from a 99Mo–99mTc generator) (Firestone et al., 1996; Boswell & Brechbiel, 2007), as well as rhenium's similarity in chemistry, including its own 188/186Re isotope used for therapy, these elements have been extensively investigated for medical applications. Multiple generations of complexes have been developed utilizing various oxidation states and cores, such as pertechnetate, 99mTcO4− (in the +7 and commercially available as TechneLite) (Dodds & Powell, 1968), and the Tc+5 mono-oxo (Tc=O) core (Ceretec) (Mazzi et al., 2007). The 99mTc-MDP also known as 99mTc-medronate (Osteolite) used for imaging of bone metastasis has a +4 and is thought to coordinate in an octahedral fashion. Furthermore, 99mTc-tetrofosmin (Myoview) (Kelly et al., 1993) is a cationic compound and is used in myocardial perfusion imaging. It contains a Tc+5 trans di-oxo (Tc=O2) core. Moreover, 99mTc-NOET, a neutrally charged myocardial imaging agent, consists of a 99mTc(V)N2+ core (Pasqualini et al., 1994). In addition, 99mTc-sestamibi (Cardiolite) has a +1 and has octahedral coordination surrounded by isonitrile ligands. The water-soluble and readily synthesized fac-[Tc99m(CO)3]+ core from the IsoLink Kit (supplied by Mallinckrodt) similarly has a +1 with octahedral coordination (Alberto et al., 1999, 2001; Schibli et al., 2000).
The oxidation states and transition-metal core play a key role in synthesis and solubility, as well as the general and biological chemistry (Liu, 2004; Alberto et al., 2020). We have therefore grouped and described the following medically applicable PDB structures according to the Re/Tc metal core which is found in these structures.
Caution: 99Tc is a β− emitter with a half life of ca 210 000 years, 99mTc is a γ emitter with a half life of ca 6 h, and 186Re and 188Re are β− emitters with half lives of ca 3.7 d and 17 h, respectively. Thus, all experiments have to be performed in laboratories approved for working with low-level radioactive materials. Naturally occurring rhenium, 75Re, is 37.4% 185Re (considered observably stable) and 62.6% 187Re (an unstable isotope but it has a very long half life of ca 1010 years), it is therefore considered stable for standard laboratory use.
2.3.1. Radiopharmaceutical development utilizing rhenium oxo (Re/TcVO core) complex coordination to proteins
Radiopharmaceutical development utilizing rhenium-188 and technetium-99m metal coordination to proteins has been investigated by Giblin et al. (1998) utilizing the Re/TcV oxo core. The NMR study investigated the coordination of a [ReOCl3(Me2S)(OPPh3)] complex in solution. The authors' goal was to design 188Re- or 99mTc-radiolabelled α-melanocyte stimulating hormone (α-MSH) analogues in which metal coordination was an integral part of the molecule's structure (Fig. 3).
Both the Tc and Re oxo complexes in 1b0q (Giblin et al., 1998) were in the +5 which tends to prefer a square pyramidal coordination geometry. The cyclic Re–peptide analogue, ReMSH, was synthesized by incorporating the ReVO core into APOMSH via trans from the [ReOCl3(Me2S)(OPPh3)] organometallic complex. The α-MSH analogues, cyclized through site-specific rhenium and technetium metal coordination, were structurally characterized and analysed for their ability to bind to α-MSH receptors present on melanoma cells and in tumour-bearing mice. analysis of the Re–peptide complex showed that the disulfide bond of the original peptide was replaced by thiolate–metal–thiolate When the metal binding site was redesigned, a second-generation Re–peptide complex (ReCCMSH) formed, which displayed a receptor binding affinity of 2.9 nM, 25-fold higher than the initial ReMSH analogue.
2.3.2. Protein coordination with perrhenate oxo cores involving molybdate substitution in molybdate-binding periplasmic protein
The protein coordination to an alternative rhenium core was explored by Aryal et al. (2012) (3axf) who presented a strategy to engineer proteins that may selectively recognize the perrhenate (ReO4−) ion so as to develop a new method to label proteins. The ReO4− anion is tetrahedral in shape and contains the rhenium atom in the +7 with a d 0 configuration. It is similar in size and shape to perchlorate and the valence is isoelectronic to permanganate. It is also stable over a broad pH range (Eiroa-Lledo et al., 2020). The chemistry of the perrhenate ion is like that of the pertechnetate ion 99m/99TcO4−, which again makes it ideal for exploratory research without having to utilize the radioactive 99m/99Tc radionuclide (Mazzi et al., 2007). The authors determined that the molybdate (MoO42−) binding protein (ModA) from Escherichia coli can bind perrhenate with high affinity and were able to solve the of ModA with a bound ReO4− (3r26). The authors also synthesized a mutant protein containing a disulfide linkage, which exhibited increased affinity for the perrhenate (3axf). These protein structures both indicate that the ReO4− ion occupies the MoO42− binding site using the same amino-acid residues that are involved in molybdate binding. The overall protein structure of the perrhenate-bound ModA is unchanged compared with that of the molybdate-bound form (see Fig. 4).
The affinity of most proteins for the radionuclides of rhenium and technetium is not known. The effect of the bifunctional chelator on the metal reactivity (Jacobs et al., 2021; Brink et al., 2014; Schutte et al., 2011, 2012) and the stabilities of the bidentate [2+1] N,N′; N,O′; O,O′ or tridentate coordinated complexes under physiological conditions are still being explored (Schibli et al., 2000; Schibli & Schubiger, 2002). These studies (3axf and 3r26) therefore make a valuable contribution to understanding molybdate protein interactions, particularly if it can be generalized so that more perrhenate-bound proteins can selectively be stabilized with the presence of disulfide linkages. The authors indicate that the binding protein originates from a bacterium as the molybdate transporter in Homo sapiens has yet to be discovered. This could be applied for targeted delivery to an organ of concern, if other molybdate/perrhenate-labelled proteins could be identified. Secondly, the question arises if it would be possible to substitute the perrhenate oxo core (ReO4−) with an alternative core, such as the fac-[Re(CO)3]+ core that we have shown in our studies, summarized in Section 2.3.3, to be able to coordinate to multiple types of amino acids. This would increase the absorption and the clinical X-ray contrast.
2.3.3. Rhenium–protein coordination utilizing the fac-[ReI(CO)3] core
The tricarbonyl cores of rhenium and technetium, fac-[MI(CO)3] (M = Re or Tc), are widely utilized due to their water solubility, as well as their relatively simple synthetic procedure which is conducted under mild conditions in aqueous solutions. The aqua complex fac-[MI(CO)3(H2O)3] is coordinated by three tightly bound CO ligands and three labilizable water ligands. It is a highly attractive possibility for radiopharmaceutical design due to the high stability of the fac-[M(CO)3]+ core in water and the potential of exchanging the labile solvent ligands to allow coordination with many different types of ligands (Alberto et al., 1999, 2001; Schibli et al., 2000; Jacobs et al., 2021).
Within the wwPDB, 3rj7 (Can et al., 2012) describes rhenium bio-organometallic carbonic anhydrase inhibitors (CAI) with nanomolar affinities for specific CA subtypes. CAs are targets for cancer diagnosis and therapy because of hypoxia-induced overexpression of hCAIX and hCAXII (hCA = human CA) in several malignancies, including cancer (Lindskog, 1997; Supuran, 2008a,b; Bose & Satyanarayana, 2017). In 3rj7, the study included both rhenium and technetium-99m arylsulfonamide, sulfamide, and sulfamate-based CAIs containing the [(Cp–R)M(CO)3] complex (M = Re or 99mTc; Cp = cyclopentadienyl) (Can et al., 2012). All these complexes were in the +1 and octahedral coordination. The [(Cp–R)Re(CO)3] complex is found in the binding pocket of hCAII with no covalent bonds formed between the protein and the Re metal centre. However, the deprotonated nitrogen of the arylsulfonamide terminus of the [(Cp–R)Re(CO)3] complex coordinates to the Zn atom in the active site, thus forming a protein–ligand bond. The [(Cp)Re(CO)3] complex has no further interactions with either the protein or water molecules (Can et al., 2012). However, there are hydrophobic interactions between the [(Cp)Re(CO)3] moiety and the hydrophobic parts of Phe131, Leu198 and Pro202 (RCSB NGL ligand viewer https://www.rcsb.org/docs/3d-viewers/ngl#ligand-viewer-options) (Rose & Hildebrand, 2015; Rose et al., 2017).
Other studies that have examined the coordination of fac-[ReI(CO)3] complexes to proteins, specifically to understand the protein–metal coordination for radiopharmaceutical development, have been described by Binkley et al. (2010) (3kam), Binkley et al. (2011), Zobi & Spingler (2012) (3qng, 3qe8) and Santoro et al. (2012). The studies have shown that rhenium–protein coordination utilizing the fac-[ReI(CO)3] core has consistencies, such as the metal core showing binding preference to a histidine imidazole [Binkley et al., 2011; Zobi & Spingler, 2012; Santoro et al., 2012; Takematsu et al., 2013 (structure 4k9j studied for interest in electron tunnelling)]. The exception to the histidine imidazole sole preference was our study (Brink & Helliwell, 2017), which employed two X-ray wavelengths for rhenium resonant-scattering signal enhancement and enabled the finding of rhenium transition-metal placements, even at low occupancy. With that approach, rhenium coordination was also observed in binding to aspartic acid, glutamic acid, arginine and leucine residues (5nbj; Brink & Helliwell, 2017). The kinetic formation of tetranuclear rhenium clusters appropriate for theranostic applications, albeit in the crystal and rather slow (up to two years), has also been observed with the fac-[ReI(CO)3] core (6ro3, 6ro5; Brink & Helliwell, 2019a) (see Fig. 5).
Fig. 6 summarizes the complete kinetic stepwise formation that the rhenium complexes can undergo, and where the mono- and tetranuclear complexes {fac-[Re(CO)3]+ and fac-[Re4(μ3-OH)4(CO)12]} were observed in the protein–rhenium crystal structures studied. We deem this expanded group of rhenium complexes seen bound to a protein as a breakthrough in the whole field, particularly as it is synthetically possible to substitute one rhenium atom with either technetium-99m or technetium-99 to form a mixed rhenium and technetium version where more than one metal centre is present and with possible further theranostic applications (Mokolokolo et al., 2018; Frei et al., 2018).
Of additional medical interest is the recent report of the synthesis and biophysical evaluation of a series of fac-[ReI(CO)3(bipy)]+ (bipy = 2,2 bipyridine ligand) complexes as inhibitors of the SARS-CoV-2 main protease 3CLpro (3-chymotrypsin-like protease) (Karges et al., 2021). Mass-spectrometry experiments verified the covalent binding of a single [ReI(CO)3] complex to the 3CLpro preferentially via the Cys145 amino acid. The authors suggest that rhenium(I) tricarbonyl complexes can serve as a starting scaffold for the development of potent selective SARS-CoV-2 inhibitors.
3. Forward look: what is the best way for this field to progress?
We have stated the need to identify any possible trends that may be occurring in this field as they could provide key information on whether there is any binding preference occurring between the group 7 transition-metal series and proteins. The themes of other research labs have been described and particularly the reasons as to why rhenium was chosen. It is also important to note the variety of proteins used, the wide range of organometallic complexes and the crystallization conditions (Table 1).
In our research, we have firstly identified that there are more amino-acid types binding to rhenium organometallics than previously seen. Secondly, via our most recent research, we have expanded the available repertoire of rhenium compounds to include multi-metal-centre complexes (Brink & Helliwell, 2017, 2019a). Both these advances have the potential to increase the absorption of the organometallic complex at the organ being imaged. These are promising steps forward for reducing the overall medical-imaging radiation exposure needed, as well as the potential for creating a dual drug, one containing both imaging and therapeutic applications via the inclusion of Re and Tc metal centres. The toxicity evaluation of any new compound is a major defining step as to whether a new compound has a commercial future or not and requires the take up of the frontline research into any pharmaceutical company's research and development program (PhRMA, 2015; Eckstein, 2005; Tonkens, 2005; Torjesen, 2015).
The challenge for the chemist is how to localize the organometallic binding to the cancerous cells but not the normal tissue. Specific area injection is an obvious answer to this challenge, such as the use of heterogeneous 188Re-colloids for brachytherapy, which can be physically inserted at a site (Lepareur et al., 2019). Another is the continued development of site-specific complexes (Liu, 2004). Agents that bind to a specific site in the biological organ with high concentration cause minimal damage to the surrounding tissue. This review clearly highlights an unusual commonality that supports the ideal of the latter suggestion. Of the 27 PDB entries containing rhenium listed in Table 1, 74% of these (i.e. 20 structures) show direct coordination of the metal to a histidine moiety via the imidazole group. This is a marked preference for one particular particularly when considering that crystallization conditions were markedly variable and involved various organometallic cores and oxidation states. Furthermore, 11 different proteins were analysed containing basically a full range of types on their protein surfaces.
So, how might this whole field progress? Fundamentally there are some significant technical obstacles from a crystallographic aspect that must be addressed in future research.
Firstly, data have been extracted from the PDB over a broad time period spanning 20 years or more. Significant scientific and technology progress has occurred during this period, including in crystallization techniques, X-ray synchrotron/lasers/home sources, detectors, software developments, IUCr publication and validation requirements, CSD/wwPDB data submission and validation requirements etc. We also wish to emphasize the need of FAIR data principles (where FAIR data is findable, accessible, interoperable and reusable) in the field of macromolecular and chemical crystallography. The purpose of our review is not to criticize the authors of past articles we have referred to who did not have the tools available today. But we ask the question how can published data and tools currently made available to macromolecular crystallographers be interoperably utilized by scientists in disciplines other than the original purpose (Helliwell, 2019)? We have found that not all of our surveyed database deposits are `reusable' since they do not contain the structure factors, a point we return to below.
Accurately examining multiple weak interactions should be extractable in either macromolecular or chemical crystallography and is crucial for drug development. A valuable tool provided by the CSD is CSD-CrossMiner. Care should be taken when viewing possible trends in protein–metal interactions, particularly when searching for d-block transition metals as carried out for this study. In such an organometallics review, we recommend a combined analysis is carried out via the stepwise-analyse-by-hand method, supported by the available search engines developed by the chemical and/or macromolecular crystallographic community to avoid missing any key information. Another future development that would be most useful is the availability of constructing space-volume calculations from small molecules and then being able to search for identical `space-volume pockets' on proteins in their structures downloaded from the PDB. Thus, both electronic and steric factors could be examined either individually or collectively, a factor utilized in research with calculations such as the Tolman cone angle (Tolman, 1977; Bilbrey et al., 2013).
Thirdly, we see the need to extend our research, and the studies by others, to where the whole crystallography procedure is undertaken ideally at mammalian body temperature (37°C). This is quite challenging because the co-crystallization of the organometallic of interest with a protein should also be carried out at 37°C, not only the X-ray diffraction data collection. The crystallization conditions at room temperature (∼20 to 25°C) may not be the same at 37°C. Organometallic reaction-rate constants generally increase by a factor of two or three for each 10°C rise in temperature (Moore & Pearson, 1981). Such studies will assess whether the weaker occupancy binding sites would have increased metal occupation at body temperature or would migration to the dominant binding species (i.e. histidine) become more prominent? Also, could structure studies of proteins at variable temperatures increase our understanding of dynamic movements by examining the flexibility of side chains, or by the loss of water molecules (Helliwell, 2021; Tilton et al., 1992, Sanchez et al., 2019)? A recent review describes the practical aspects of preparing, acquiring and analysing X-ray crystallography data at room temperature, and sheds light on preconceived impracticalities that tend to deter most crystallographers from conducting routine room-temperature data collection at synchrotron sources (Fischer, 2021).
Fourthly, a fundamental difficulty of evaluating the precision of quite a number of PDB entries is the absence of their associated structure-factor files (such as in 1k4j, 1i53, 1jzi, 1r1c and 2fnw). Thus, the import of a particular PDB entry into Coot (Emsley & Cowtan, 2004) does not yield the difference electron-density map in such cases. To examine the difference electron-density map is vital for seeing features that are not the focus of the authors' model (or original purpose) and specifically to check if there are any signs of structural disorder around the rhenium sites or possibly more weakly occupied metal sites. Specifically of relevance to this review is the question: could these disorders be eliminated and the rhenium compound harnessed to better advantage for a radiopharmaceutical biomedical application? If the structure factors are available to re-refine the model, this is not necessarily straightforward if the ligand restraints file is not available. The lack of interoperability of the PDB and the CSD in such a situation can be a considerable obstacle (Brink & Helliwell, 2019b). Additional differences are observed between the authors indicating formal protein–metal bonding and protein–ligand interactions versus the RCSB NGL ligand viewer (Rose & Hildebrand, 2015; Rose et al., 2017), which lists the weak interactions. The RCSB PDB clearly defines the criteria for the interaction types and the calculation parameters used. To gain greater clarity between possible discrepancies of this kind, it would be best to analyse the precision of each bond distance, factoring in the resolution of each PDB entry, diffraction data completeness etc., to accurately determine which is a weak interaction and which is a formal bond.
And finally, it is important to note that et al., 2020). It is sometimes difficult (utilizing the notation) to clearly establish which atoms of the ligands are bound to the metal and to decide which bond-order scheme suits the specific organometallic compound the best (Quirós et al., 2018). This often leads to ambiguity in representation when algorithms or automatic machine drawing tools are utilized (Heller et al., 2015). It is therefore strongly recommended to always refer to the original publication and the PDB entry/CIF to view the correct organometallic configuration.
is a key aspect affecting the chemistry of organometallic or inorganic compounds and therefore must be correctly illustrated or described. Many database entries interchangeably utilize SMILES or InChI notation when constructing 2D diagrams (or ligand CIFs for protein refinement). However, organometallic complexes are problematic to describe because their bonding scheme cannot fully be explained by valence-bond theory (DavidWe hope that this topical review survey and descriptions of possible improvements to the methods will stimulate this important field for further, even enhanced, medical application.
Acknowledgements
Opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the South African National Research Foundation (SA NRF). JRH is very grateful to the University of Manchester for support. We thank the Diamond Light Source for synchrotron radiation within the University of Manchester Block Allocation Group coordinated by Dr Colin Levy, who we also thank.
Funding information
AB and FJFJ wish to thank the SA NRF, the Research Fund of the University of the Free State and SASOL for financial support.
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