research communications\(\def\hfill{\hskip 5em}\def\hfil{\hskip 3em}\def\eqno#1{\hfil {#1}}\)

Journal logoSTRUCTURAL BIOLOGY
COMMUNICATIONS
ISSN: 2053-230X

Triosephosphate isomerase from Fasciola hepatica: high-resolution crystal structure as a drug target

crossmark logo

aHenry Wellcome Building for Biocatalysis, Biosciences, Faculty of Health and Life Sciences, University of Exeter, Exeter EX4 4QD, United Kingdom, bBiosciences, Faculty of Health and Life Sciences, University of Exeter, Exeter EX4 4QD, United Kingdom, cCentre for Organelle Research, Department of Chemistry, Bioscience and Environmental Engineering, University of Stavanger, 4021 Stavanger, Norway, and dSchool of Pharmacy and Biomolecular Sciences, University of Brighton, Brighton BN2 4GJ, United Kingdom
*Correspondence e-mail: [email protected], [email protected]

Edited by J. Agirre, University of York, United Kingdom (Received 21 May 2025; accepted 18 July 2025; online 20 August 2025)

The trematode liver fluke Fasciola hepatica causes the neglected tropical disease fascioliasis in humans and is associated with significant losses in agricultural industry due to reduced animal productivity. Triosephosphate isomerase (TPI) is a glycolytic enzyme that has been researched as a drug target for various parasites, including F. hepatica. The high-resolution crystal structure of F. hepatica TPI (FhTPI) has been solved at 1.51 Å resolution in its monoclinic form. The structure has been used to perform molecular-docking studies with the most successful fasciolocide triclabendazole (TCBZ), which has recently been suggested to target FhTPI. Two FhTPI residues, Lys50 and Asp51, are located at the dimer interface and are found in close proximity to the docked TCBZ. These residues are not conserved in mammalian hosts.

1. Introduction

Fasciola hepatica, the common liver fluke, is a digenean trematode belonging to the phylum Platyhelminthes. It causes a zoonotic disease described as fascioliasis in humans and as fasciolosis in herbivores by infecting the liver (Seah, 1978View full citation). It has been included by the World Health Organization (WHO) in its catalogue of neglected tropical diseases under the subset of foodborne tremadodiases (World Health Organization, 2013View full citation). More than 2.4 million people in at least 75 countries and across five continents have been estimated to be infected worldwide (World Health Organization, 2020View full citation). F. hepatica disease shows the widest global distribution among the foodborne diseases (Mas-Coma et al., 2019View full citation) and climate change is contributing to its further spread (Fox et al., 2011View full citation; Booth, 2018View full citation).

While the juvenile flukes mature inside their mammalian host, they progressively depend on anaerobic metabolism due to the very low availability of oxygen (Tielens, 1994View full citation). As a result, the adult flukes rely almost entirely on glycolysis and an anaerobically functioning electron-transport chain (Tielens et al., 1984View full citation; Lloyd, 1986View full citation; Tielens & Van Hellemond, 1998View full citation).

Triosephosphate isomerase (TPI; EC 5.3.1.1) is a glycolytic enzyme which catalyses a critical step in glycolysis in which a toxic triose dihydroxyacetone phosphate (DHAP; produced by aldolase in the previous step) is reversibly converted to D-glyceraldehyde-3-phosphate (GAP; Rieder & Rose, 1959View full citation). GAP is further processed in glycolysis, highlighting its importance in central energy metabolism. Thus, whenever there is influx of DHAP from the previous steps of glycolysis, it can be isomerized to GAP and further processed to pyruvate (Boiteux & Hess, 1981View full citation).

The first TPI structure was determined from chicken muscle (Banner et al., 1975View full citation). The TPI structure is a typical example of an α/β barrel, formed of α-helices and β-sheets, which is one of the most common motifs found in proteins (Brändén, 1991View full citation; Hegyi & Gerstein, 1999View full citation). The TPI, in most species, is a homodimer with the substrate-binding site located close to the dimer interface (Jogl et al., 2003View full citation; Velanker et al., 1997View full citation; Mukherjee et al., 2012View full citation; Delboni et al., 1995View full citation; Wierenga et al., 1987View full citation; Parthasarathy et al., 2003View full citation; Alber et al., 1981View full citation). Glycolytic enzymes have always been considered to be attractive drug targets in helminths (Timson, 2016View full citation). There are several examples of compounds that selectively inhibit TPI in unicellular parasitic eukaryotes (Enriquez-Flores et al., 2008View full citation, 2011View full citation; Gayosso-De-Lucio et al., 2009View full citation; Olivares-Illana et al., 2006View full citation, 2007View full citation; Maithal et al., 2002View full citation; Rodríguez-Romero et al., 2002View full citation) that could be significant for the development of successful chemotherapies.

The TPI from F. hepatica (FhTPI) has been biochemically characterized (Zinsser et al., 2013View full citation) and its structure has been reported at a resolution of 1.9 Å in a trigonal space group (Ferraro et al., 2020View full citation). The latter study also proposed that FhTPI is inhibited by the most widely used fasciolocide, triclabendazole (TCBZ), with an IC50 of 7 µM.

Of special interest is the dimer interface of the enzyme. Only the dimeric form of TPI is active, and disruption of the interactions forming the dimer can result in inhibition and inactivation of the enzyme (Téllez-Valencia et al., 2002View full citation). TPI dimer-interface inactivators have been investigated in the past with promising results. Three compounds demonstrated selective inhibitory effects against TPI from Trypanosoma cruzi both in vitro and in vivo (Aguilera et al., 2016View full citation). The TPI from the cattle tick Rhipicephalus microplus was shown to be inhibited with IC50 values of between 25 and 50 µM in vivo (Saramago et al., 2018View full citation). Both studies strengthen our hypothesis that FhTPI could be exploited as a molecular drug target.

In this study, we report the expression, purification and crystallization of FhTPI and its monoclinic structure at 1.51 Å resolution. As attempts to crystallize FhTPI in complex with the potential inhibitor TCBZ did not yield any diffraction-quality crystals, the structure was used in molecular-docking experiments to locate structural differences between parasitic and mammalian host enzymes, with the aim of developing new parasite-specific inhibitors of glycolysis. The docking results suggest that TCBZ binds close to the dimer interface and proximate to two residues that form hydrogen bonds and salt bridges that stabilize it. Disturbance of these interactions could increase the understanding of the specific inhibitory effect of TCBZ.

2. Materials and methods

2.1. Protein overexpression and purification

Plasmid pET-46 Ek/LIC, derived from pRT-46 (Merck, Darmstadt, Germany) and containing the gene for FhTPI, was kindly provided by Professor David Timson (University of Brighton, UK). This expression vector adds an N-terminal histidine tag (MAHHHHHHDDDDK) onto the protein for ease of purification. This construct was transformed into Escherichia coli Rosetta (DE3) competent cells (Merck, Darmstadt, Germany). Single colonies were grown on Luria–Bertani medium at 310 K to an optical density of 0.6 at 600 nm. The cultures were then induced with 1 mM isopropyl β-D-1-thiogalactopyranoside for 3 h. The cells were harvested by centrifugation at 4700g for 30 min at 277 K. The harvested cells were resuspended in buffer A (50 mM Tris–HCl, 300 mM NaCl, 10 mM imidazole pH 7.0) and lysed by sonication after ten cycles of 30 s (with 30 s rest on ice between cycles).

The soluble fraction was collected after centrifugation at 24 000g at 277 K for 30 min and loaded onto a 1 ml HisTrap FF Crude immobilized metal-affinity chromatography (IMAC) column (GE Healthcare, Cincinnati, USA) pre-equilibrated with buffer A. Unbound protein was washed from the column with six column volumes of buffer A. Bound protein was eluted with a 20-column-volume gradient to 100% buffer B (50 mM Tris, 300 mM NaCl, 250 mM imidazole pH 7.0) at a 1 ml min−1 flow rate. Fractions corresponding to recombinant FhTPI were pooled and loaded onto a 120 ml HiLoad 16/600 Superdex 200 pg size-exclusion chromatography (SEC) column (GE Healthcare, Cincinnati, USA) and eluted under isocratic conditions with two column volumes of SEC buffer (25 mM Tris, 300 mM NaCl pH 7.0) at a flow rate of 0.8 ml min−1. The purification stages were performed at 277 K and the protein fractions were analysed by SDS–PAGE. Protein concentration was calculated by measuring the absorbance at 280 nm using a NanoDrop 2000c (Thermo Fisher Scientific, Massachusetts, USA). All purification steps were performed with an ÄKTApurifier system (GE Healthcare, Cincinnati, USA).

2.2. Crystallization

Microbatch 96-well crystallization plates (Douglas Instruments, Berkshire, UK) were used for crystal screening with an Oryx8 crystallization robot (Douglas Instruments, Berkshire, UK). The protein was concentrated to a concentration of 15 mg ml−1 using an Amicon Ultra-15 Centrifugal Filter Unit with a 10 kDa molecular-weight cutoff (Merck, Darmstadt, Germany). The protein was screened with the following commercial crystallization screening kits (Molecular Dimensions, Newmarket, UK): JCSG-plus, The Stura Footprint Combination, Morpheus and MultiXtal. The final droplet consisted of 0.5 µl protein solution and 0.5 µl crystallization screen. Droplets were covered with Al's oil (a 1:1 ratio of silicone and paraffin oil) and incubated at 291 K. During the incubation period, droplets were frequently checked under a light microscope.

The set of conditions that produced the crystal that diffracted to the highest resolution were 0.2 M Li2SO4, 0.1 M ADA {2,2′-[(2-amino-2-oxoethyl)imino]diacetic acid} pH 6.5, 30%(v/v) PEG 400.

2.3. X-ray data collection

Crystallographic data were collected on the I02 beamline at the Diamond Light Source (Didcot, UK) at 100 K in a stream of gaseous nitrogen using a PILATUS 6M-F X-ray detector (Dectris, Baden-Daettwil, Switzerland). Data were processed and scaled using XDS (Kabsch, 2010View full citation) and AIMLESS (Evans & Murshudov, 2013View full citation) in the xia2 pipeline (Winter et al., 2013View full citation). Further data and model manipulations were performed using the CCP4 software suite (Agirre et al., 2023View full citation).

2.4. Structure solution and refinement

Utilizing the MoRDa automatic molecular-replacement pipeline (Vagin & Lebedev, 2015View full citation), the structure of FhTPI was successfully solved. The model template chosen by MoRDa was the dimeric triosephosphate isomerase model from Homo sapiens (PDB entry 2jk2; Rodríguez-Almazán et al., 2008View full citation). The Coot software (Emsley et al., 2010View full citation) was used for manual rebuilding of the model. Refinement of the model was performed with REFMAC version 5.8.0135 (Murshudov et al., 2011View full citation) with input of external phases (Pannu et al., 1998View full citation) from density modification including fourfold averaging in Parrot (Cowtan, 2010View full citation). After refinement, the quality of the structure was analysed using MolProbity (Williams et al., 2018View full citation). The atomic coordinates and structure factors have been deposited in the Protein Data Bank with accession code 7qon.

2.5. Molecular docking

Docking simulations of ligands were performed using AutoDock 4.2 and its accompanying interface AutoDockTools version 1.5.6 (Morris et al., 2009View full citation). The solved high-resolution crystal structure of FhTPI was used as the receptor and TCBZ as the ligand in these molecular-docking studies. Both molecules were prepared with AutoDockTools by adding polar hydrogens, merging nonpolar hydrogens, computing the Gasteiger atomic charges and identifying and assigning the possible rotatable bonds of each ligand. Within the parameters of the Lamarckian genetic algorithm, the maximum number of energy evaluations (25 000 000, long option) was chosen to perform the conformational searching at the highest possible accuracy. Two experiments were performed, the first searching the entire surface of the dimer and the second searching the dimer-interface area. The search grid of AutoDock was configured accordingly to include the areas of interest. All resulting poses were examined visually with PyMOL (Schrödinger).

3. Results and discussion

3.1. Overexpression, purification and crystallization

The FhTPI construct was successfully overexpressed in E. coli strain Rosetta (DE3). Subsequently, the soluble fraction of the protein was purified by IMAC. The FhTPI migrated on SDS–PAGE as a single band of approximately 30 kDa (Fig. 1[link]). The IMAC-purified fractions were collected and were further purified by SEC, where the protein eluted at a volume corresponding to a molecular weight of 60 kDa, suggesting that FhTPI is a homodimer in solution.

[Figure 1]
Figure 1
SDS–PAGE gels of the eluted fractions from the IMAC column and the HiLoad 16/600 Superdex 200 pg SEC column. Lane M, molecular-weight marker (kDa). Lanes 1, 2, 3, 4, 5 and 6, FhTPI IMAC fractions along the elution peak. Lanes 7, 8, 9 and 10, FhTPI SEC fractions along the elution peak.

3.2. Model quality

The best-diffracting crystal was grown in 0.2 M Li2SO4, 0.1 M ADA pH 6.5, 30%(v/v) PEG 400, with dimensions of 0.3 × 0.2 mm (Fig. 2[link]). This crystal diffracted to 1.51 Å resolution and belonged to the monoclinic space group P1211 with unit-cell parameters a = 42.40, b = 110.47, c = 118.13 Å, α = 90, β = 97.38, γ = 90°. The asymmetric unit contains two FhTPI dimers. The MR solution was rebuilt and the resulting model was refined to acceptable R factors and stereochemical parameters (Table 1[link]). Asp35 is a Ramachandran outlier in each of the subunits. In subunit C, several loops were built with an alternative conformation of the main chain.

Table 1
Data collection, processing, structure solution and refinement of FhTPI

Values in parentheses are for the highest resolution shell.

Data collection
 Beamline I02, Diamond Light Source
 Wavelength (Å) 0.9795
 Space group P21
a, b, c (Å) 42.4, 110.5, 118.1
α, β, γ (°) 90.0, 97.4, 90.0
 Resolution range (Å) 51.76–1.51 (1.54–1.51)
 Total reflections 537159 (27159)
 Unique reflections 167030 (8244)
 Completeness (%) 99.1 (99.7)
 Multiplicity 3.2 (3.3)
Rmeas (%) 7.1 (173.6)
 〈I〉/〈σ(I)〉 10.9 (0.8)
 CC1/2 0.999 (0.321)
 Wilson B factor§2) 29.6
Model refinement
Rwork 0.165
Rfree 0.193
 Monomers in asymmetric unit 4
 No. of atoms
  Protein 8463
  Solvent 1164
 No. of residues 1006
 R.m.s.d., bond lengths (Å) 0.008
 R.m.s.d., bond angles (°) 1.41
 Ramachandran plot favoured (%) 97.5
 Ramachandran plot outliers (%) 0.40
 Clashscore 6.79
 Average B factor, protein (Å2) 28.5
 Average B factor, solvent (Å2) 40.8
 PDB code 7qon
Rmeas = Mathematical equationMathematical equation.
‡CC1/2 is defined in Karplus & Diederichs (2012View full citation).
§The Wilson B factor was estimated by SFCHECK (Vaguine et al., 1999View full citation).
¶The Ramachandran statistics and clashscore were calculated using MolProbity (Williams et al., 2018View full citation).
[Figure 2]
Figure 2
The monoclinic crystal of F. hepatica triosephosphate isomerase.

3.3. FhTPI structure

Analysis of the secondary structure by PROMOTIF (Hutchinson & Thornton, 1996View full citation) using the EBI PDBsum server (Laskowski et al., 2018View full citation) reveals that the monomer structure consists of 14% β-strands and 37.2% α-helices. The main secondary structures of the FhTPI monomer are a single β-sheet (an eight-stranded barrel) and 15 α-helices, which are arranged in a α/β barrel motif. This is one of the most common and widespread folds (observed in many enzyme families) found in proteins (Hegyi & Gerstein, 1999View full citation). Fig. 3[link] illustrates, with a cartoon, the secondary structure of the FhTPI monomer. Analysing the crystal structure of FhTPI further using the PDBePISA (Protein Interfaces, Surfaces and Assemblies) service at the European Bioinformatics Institute (https://www.ebi.ac.uk/msd-srv/prot_int/pistart.html; Krissinel & Henrick, 2007View full citation) reveals that 39 residues of each monomer participate in formation of the dimer interface. There are 27 hydrogen bonds and seven salt bridges at the dimer interface that stabilize it. Out of these interactions, of especial interest is the interaction of Lys50 and Asp51 that participate in hydrogen-bond and salt-bridge formation at the dimer interface. These two residues do not exist in the mammalian hosts of F. hepatica, where they are substituted by Asp50 and Phe51 as shown by the aligned TPI sequences (Fig. 4[link]). Analysis of the mammalian host TPI structures with PDBePISA shows that Phe51 does not participate in dimer-forming bonds. The Plasmodium falciparum TPI (PfTPI) crystal structure has the ligand 3-phosphoglycerate (3-PG) bound to the dimer interface as well as the active site (Gayathri et al., 2009View full citation). 3-PG, a substrate analogue of TPI, exhibited weak inhibition of PfTPI with a Ki of 2 mM. This finding is in agreement with our docking results, suggesting that the dimer interface can be a site where small molecules can bind and produce allosteric effects on TPI.

[Figure 3]
Figure 3
Tertiary structure of the FhTPI monomer in a cartoon representation. The α-helices are coloured red, β-strands yellow and loop regions green. This figure was produced with CCP4mg (McNicholas et al., 2011View full citation).
[Figure 4]
Figure 4
Fragment of the multiple sequence alignment of TPI amino-acid sequences from F. hepatica (Swiss-Prot entry S4UI50), B. taurus (Swiss-Prot entry Q5E956), O. aries (UniProt entry A0A6M6R7Y5) and H. sapiens (Swiss-Prot entry P60174). Residues of interest are framed in red boxes. Shaded residues represent identical residues. Residues with similar physicochemical properties are framed in black boxes. Alignment was performed with Clustal Omega (Sievers et al., 2011View full citation). The figure was produced using ESPript3 (Robert & Gouet, 2014View full citation).

In this study, the FhTPI structure has also been used for molecular-docking studies. We chose to perform these simulations as crystallization attempts to produce TPI structures complexed with inhibitors and substrates were unsuccessful. The ligand we chose to use is the flukicide TCBZ, which has been proposed to inhibit FhTPI (Ferraro et al., 2020View full citation). We performed two docking experiments with different approaches, where in the first the whole dimer was used as the docking area (also called `blind' docking) and in the second the ligand was docked on the dimer-interface area (`targeted' docking). Ferraro et al. (2020View full citation) conducted both `blind' docking across the entire surface of the FhTPI monomer and dimer and `targeted' docking focused on the active site, but did not specifically explore the dimer interface as in our study. In contrast, our docking simulations specifically targeted the dimer-interface region, whereas Ferraro et al. (2020View full citation), to our understanding, conducted their `targeted' docking on the monomeric form. This methodological difference may account for the distinct binding location of TCBZ observed in our experiments. In our studies, both the `targeted' and `blind' docking approaches identified TCBZ binding poses in a region within the dimer interface, distant from the catalytic residues. Furthermore, our analysis revealed that Lys50 and Asp51, which are involved in dimer-interface formation, are not conserved in the mammalian hosts of F. hepatica, with potential selectivity implications.

The first experiment encompassed searching the entire dimer surface and produced ten docking poses in total, ranked by free binding energy. None of the docking poses was in proximity to the active-site residues. The first docking pose was proximate to the first α-helix (H1) close to the N-terminus (Fig. 5[link]a), with a binding energy of −7.34 kcal mol−1, an inhibition constant of 4.17 µM and no predicted hydrogen bonds formed between the receptor and ligand. The second (Fig. 5[link]a) and third (not shown) poses have a similar binding energy to the first (−7.01 and −6.98 kcal mol−1, respectively) and are both located in the same position with a slightly different degree of rotation of the TCBZ oxygen bond. The inhibition constants are 7.31 and 7.59 µM for the second and third pose, respectively. In the third pose, the hydrogen (HE21) of Gln23 is predicted to form a hydrogen bond to the nitrogen (N1) of TCBZ (Fig. 5[link]b). Notably, in the position of Gln23, according to the performed multiple sequence alignment (Fig. 4[link]), a glycine is found in the mammalian hosts. This could potentially mean that the binding affinity of TCBZ to mammalian TPI is different compared with fluke TPI. In the second docking experiment, the search area was restricted to the dimer interface. The best pose (Fig. 6[link]a), as well as the second, third and fourth best from the total of ten (ranked by binding energy), docked in the same area as the second and third docking poses of the previous experiment searching the whole dimer surface. The first, second and third poses have binding energies of −6.8, −6.7 and −6.7 kcal mol−1 and inhibition constants of 9.7, 12.4 and 12.4 µM, respectively. Additionally, the third pose of TCBZ is specifically predicted to form the same hydrogen bond as the third pose of the abovementioned `blind' docking experiment. Remarkably, the poses are located (with different conformations) close to Lys50 and Asp51 (Fig. 6[link]b). These two residues form two hydrogen bonds and three salt bridges (out of a total of seven) that participate in dimer-interface formation (as predicted by PDBePISA). In the mammalian hosts of F. hepatica (Bos taurus, Ovis aries and H. sapiens) they are substituted by Asp50 and Phe51 (Fig. 4[link]), which do not form these interactions. In the hosts Phe51 is not predicted to participate in dimer-interface interactions and thus they lack the interactions of Lys50 and Asp51. Although the predicted inhibition constant for TCBZ is probably not adequate to disrupt the dimer interface considering the size of the interface, it could affect the dimerization process. This leads us to think and hypothesize that in F. hepatica these two residues are important in dimer formation and that TCBZ could interrupt the dimer formation or potentially change the conformation of the dimer, rendering it less active or inactive. This could be an indication of the selectivity of TCBZ for the fluke TPI and its role as an allosteric effector of FhTPI. These findings in our opinion warrant experimental confirmation with functional studies. Overall, this structure may lead to subsequent studies aiming to identify molecular drug targets on FhTPI and consequently the design of improved fasciolocides.

[Figure 5]
Figure 5
(a) Front view of the FhTPI dimer with the best and second-best docking poses of TCBZ displayed (magenta and yellow, respectively). The whole dimer was used as the docking area. Active-site residues for each monomer are shown as red sticks. (b) Close-up view of the second- and third-best docking poses (yellow and grey, respectively) showing TCBZ docked close to the FhTPI dimer interface. Residues (participating in the dimer interface) of both monomers within a radius of 4 Å from TCBZ are displayed. The yellow dashed line indicates (in Å) the predicted hydrogen bond between Gln23 and TCBZ. This image was produced with PyMOL (Schrödinger).
[Figure 6]
Figure 6
(a) Front view of the FhTPI dimer with the best docking pose of TCBZ (magenta) displayed. The dimer interface was used as the docking area. Active-site residues for each monomer are shown as red sticks. (b) Close-up view of the best docking pose showing TCBZ (magenta) docked close to the FhTPI dimer interface. Residues Lys50 and Asp51 (participating in the dimer interface) and residues within a radius of 4 Å from TCBZ are displayed. Active-site residues for each monomer are shown as red sticks. This image was produced with PyMOL (Schrödinger).

Footnotes

Deceased.

Acknowledgements

For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.

References

Return to citationAgirre, J., Atanasova, M., Bagdonas, H., Ballard, C. B., Baslé, A., Beilsten-Edmands, J., Borges, R. J., Brown, D. G., Burgos-Mármol, J. J., Berrisford, J. M., Bond, P. S., Caballero, I., Catapano, L., Chojnowski, G., Cook, A. G., Cowtan, K. D., Croll, T. I., Debreczeni, J. É., Devenish, N. E., Dodson, E. J., Drevon, T. R., Emsley, P., Evans, G., Evans, P. R., Fando, M., Foadi, J., Fuentes-Montero, L., Garman, E. F., Gerstel, M., Gildea, R. J., Hatti, K., Hekkelman, M. L., Heuser, P., Hoh, S. W., Hough, M. A., Jenkins, H. T., Jiménez, E., Joosten, R. P., Keegan, R. M., Keep, N., Krissinel, E. B., Kolenko, P., Kovalevskiy, O., Lamzin, V. S., Lawson, D. M., Lebedev, A. A., Leslie, A. G. W., Lohkamp, B., Long, F., Malý, M., McCoy, A. J., McNicholas, S. J., Medina, A., Millán, C., Murray, J. W., Murshudov, G. N., Nicholls, R. A., Noble, M. E. M., Oeffner, R., Pannu, N. S., Parkhurst, J. M., Pearce, N., Pereira, J., Perrakis, A., Powell, H. R., Read, R. J., Rigden, D. J., Rochira, W., Sammito, M., Sánchez Rodríguez, F., Sheldrick, G. M., Shelley, K. L., Simkovic, F., Simpkin, A. J., Skubak, P., Sobolev, E., Steiner, R. A., Stevenson, K., Tews, I., Thomas, J. M. H., Thorn, A., Valls, J. T., Uski, V., Usón, I., Vagin, A., Velankar, S., Vollmar, M., Walden, H., Waterman, D., Wilson, K. S., Winn, M. D., Winter, G., Wojdyr, M. & Yamashita, K. (2023). Acta Cryst. D79, 449–461.  Web of Science CrossRef IUCr Journals Google Scholar
Return to citationAguilera, E., Varela, J., Birriel, E., Serna, E., Torres, S., Yaluff, G., de Bilbao, N. V., Aguirre-López, B., Cabrera, N., Díaz Mazariegos, S., de Gómez-Puyou, M. T., Gómez-Puyou, A., Pérez-Montfort, R., Minini, L., Merlino, A., Cerecetto, H., González, M. & Alvarez, G. (2016). ChemMedChem, 11, 1328–1338.  CrossRef CAS PubMed Google Scholar
Return to citationAlber, T., Banner, D. W., Bloomer, A. C., Petsko, G. A., Phillips, D., Rivers, P. S. & Wilson, I. A. (1981). Philos. Trans. R. Soc. Lond. B Biol. Sci. 293, 159–171.  CAS PubMed Google Scholar
Return to citationBanner, D. W., Bloomer, A. C., Petsko, G. A., Phillips, D. C., Pogson, C. I., Wilson, I. A., Corran, P. H., Furth, A. J., Milman, J. D., Offord, R. E., Priddle, J. D. & Waley, S. G. (1975). Nature, 255, 609–614.  CrossRef PubMed CAS Web of Science Google Scholar
Return to citationBoiteux, A. & Hess, B. (1981). Philos. Trans. R. Soc. Lond. B Biol. Sci. 293, 5–22.  CAS PubMed Google Scholar
Return to citationBooth, M. (2018). Adv. Parasitol. 100, 39–126  CrossRef PubMed Google Scholar
Return to citationBrändén, C.-I. (1991). Curr. Opin. Struct. Biol. 1, 978–983.  Google Scholar
Return to citationCowtan, K. (2010). Acta Cryst. D66, 470–478.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationDelboni, L. F., Mande, S. C., Turley, S., Hol, W. G. J., Rentier-Delrue, F., Mainfroid, V., Martial, J. A. & Vellieux, F. M. D. (1995). Protein Sci. 4, 2594–2604.  CrossRef CAS PubMed Google Scholar
Return to citationEmsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. (2010). Acta Cryst. D66, 486–501.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationEnriquez-Flores, S., Rodriguez-Romero, A., Hernandez-Alcantara, G., De la Mora-De la Mora, I., Gutierrez-Castrellon, P., Carvajal, K., Lopez-Velazquez, G. & Reyes-Vivas, H. (2008). Mol. Biochem. Parasitol. 157, 179–186.  PubMed CAS Google Scholar
Return to citationEnríquez-Flores, S., Rodríguez-Romero, A., Hernández-Alcántara, G., Oria-Hernández, J., Gutiérrez-Castrellón, P., Pérez-Hernández, G., Mora, I. M., Castillo-Villanueva, A., García-Torres, I., Méndez, S. T., Gómez-Manzo, S., Torres-Arroyo, A., López-Velázquez, G. & Reyes-Vivas, H. (2011). Proteins, 79, 2711–2724.  PubMed Google Scholar
Return to citationEvans, P. R. & Murshudov, G. N. (2013). Acta Cryst. D69, 1204–1214.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationFerraro, F., Corvo, I., Bergalli, L., Ilarraz, A., Cabrera, M., Gil, J., Susuki, B. M., Caffrey, C. R., Timson, D. J., Robert, X., Guillon, C., Freire, T. & Álvarez, G. (2020). Sci. Rep. 10, 2587.  CrossRef PubMed Google Scholar
Return to citationFox, N. J., White, P. C. L., McClean, C. J., Marion, G., Evans, A. & Hutchings, M. R. (2011). PLoS One, 6, e16126.  CrossRef PubMed Google Scholar
Return to citationGayathri, P., Banerjee, M., Vijayalakshmi, A., Balaram, H., Balaram, P. & Murthy, M. R. N. (2009). Acta Cryst. D65, 847–857.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationGayosso-De-Lucio, J., Torres-Valencia, M., Rojo-Domínguez, A., Nájera-Peña, H., Aguirre-López, B., Salas-Pacheco, J., Avitia-Domínguez, C. & Téllez-Valencia, A. (2009). Bioorg. Med. Chem. Lett. 19, 5936–5939.  PubMed CAS Google Scholar
Return to citationHegyi, H. & Gerstein, M. (1999). J. Mol. Biol. 288, 147–164.  Web of Science CrossRef PubMed CAS Google Scholar
Return to citationHutchinson, E. G. & Thornton, J. M. (1996). Protein Sci. 5, 212–220.  CrossRef CAS PubMed Web of Science Google Scholar
Return to citationJogl, G., Rozovsky, S., McDermott, A. E. & Tong, L. (2003). Proc. Natl Acad. Sci. USA, 100, 50–55.  Web of Science CrossRef PubMed Google Scholar
Return to citationKabsch, W. (2010). Acta Cryst. D66, 125–132.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationKarplus, P. A. & Diederichs, K. (2012). Science, 336, 1030–1033.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationKrissinel, E. & Henrick, K. (2007). J. Mol. Biol. 372, 774–797.  Web of Science CrossRef PubMed CAS Google Scholar
Return to citationLaskowski, R. A., Jabłońska, J., Pravda, L., Vařeková, R. S. & Thornton, J. M. (2018). Protein Sci. 27, 129–134.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationLloyd, G. M. (1986). Parasitology, 93, 217–248.  CrossRef CAS PubMed Google Scholar
Return to citationMaithal, K., Ravindra, G., Balaram, H. & Balaram, P. (2002). J. Biol. Chem. 277, 25106–25114.  Web of Science CrossRef PubMed CAS Google Scholar
Return to citationMas-Coma, S., Valero, M. A. & Bargues, M. D. (2019). Adv. Exp. Med. Biol. 1454, 157–201.  Google Scholar
Return to citationMcNicholas, S., Potterton, E., Wilson, K. S. & Noble, M. E. M. (2011). Acta Cryst. D67, 386–394.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationMorris, G. M., Huey, R., Lindstrom, W., Sanner, M. F., Belew, R. K., Goodsell, D. S. & Olson, A. J. (2009). J. Comput. Chem. 30, 2785–2791.  Web of Science CrossRef PubMed CAS Google Scholar
Return to citationMukherjee, S., Roychowdhury, A., Dutta, D. & Das, A. K. (2012). Biochimie, 94, 2532–2544.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationMurshudov, G. N., Skubák, P., Lebedev, A. A., Pannu, N. S., Steiner, R. A., Nicholls, R. A., Winn, M. D., Long, F. & Vagin, A. A. (2011). Acta Cryst. D67, 355–367.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationOlivares-Illana, V., Pérez-Montfort, R., López-Calahorra, F., Costas, M., Rodríguez-Romero, A., Tuena de Gómez-Puyou, M. & Gómez Puyou, A. (2006). Biochemistry, 45, 2556–2560.  PubMed CAS Google Scholar
Return to citationOlivares-Illana, V., Rodríguez-Romero, A., Becker, I., Berzunza, M., García, J., Pérez-Montfort, R., Cabrera, N., López-Calahorra, F., de Gómez-Puyou, M. T. & Gómez-Puyou, A. (2007). PLoS Negl. Trop. Dis. 1, e1.  PubMed Google Scholar
Return to citationPannu, N. S., Murshudov, G. N., Dodson, E. J. & Read, R. J. (1998). Acta Cryst. D54, 1285–1294.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationParthasarathy, S., Eaazhisai, K., Balaram, H., Balaram, P. & Murthy, M. R. N. (2003). J. Biol. Chem. 278, 52461–52470.  Web of Science CrossRef PubMed CAS Google Scholar
Return to citationRieder, S. V. & Rose, I. A. (1959). J. Biol. Chem. 234, 1007–1010.  CrossRef PubMed CAS Web of Science Google Scholar
Return to citationRobert, X. & Gouet, P. (2014). Nucleic Acids Res. 42, W320–W324.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationRodríguez-Almazán, C., Arreola, R., Rodríguez-Larrea, D., Aguirre-López, B., de Gómez-Puyou, M. T., Pérez-Montfort, R., Costas, M., Gómez-Puyou, A. & Torres-Larios, A. (2008). J. Biol. Chem. 283, 23254–23263.  Web of Science PubMed Google Scholar
Return to citationRodríguez-Romero, A., Hernández-Santoyo, A., del Pozo Yauner, L., Kornhauser, A. & Fernández-Velasco, D. A. (2002). J. Mol. Biol. 322, 669–675.  PubMed Google Scholar
Return to citationSaramago, L., Gomes, H., Aguilera, E., Cerecetto, H., González, M., Cabrera, M., Alzugaray, M. F., Da Silva Vaz Junior, I., Nunes da Fonseca, R., Aguirre-López, B., Cabrera, N., Pérez-Montfort, R., Merlino, A., Moraes, J. & Álvarez, G. (2018). Vet. Sci. 5, 74.  CrossRef PubMed Google Scholar
Return to citationSeah, S. K. (1978). Clin. Gastroenterol. 7, 87–104.  CrossRef CAS PubMed Google Scholar
Return to citationSievers, F., Wilm, A., Dineen, D., Gibson, T. J., Karplus, K., Li, W., Lopez, R., McWilliam, H., Remmert, M., Söding, J., Thompson, J. D. & Higgins, D. G. (2011). Mol. Syst. Biol. 7, 539.  Web of Science CrossRef PubMed Google Scholar
Return to citationTéllez-Valencia, A., Ávila-Ríos, S., Pérez-Montfort, R., Rodríguez-Romero, A., Tuena de Gómez-Puyou, M., López-Calahorra, F. & Gómez-Puyou, A. (2002). Biochem. Biophys. Res. Commun. 295, 958–963.  PubMed Google Scholar
Return to citationTielens, A. G. M. (1994). Parasitol. Today, 10, 346–352.  CrossRef PubMed CAS Google Scholar
Return to citationTielens, A. G. M., van den Heuvel, J. M. & van den Bergh, S. G. (1984). Mol. Biochem. Parasitol. 13, 301–307.  CrossRef CAS PubMed Google Scholar
Return to citationTielens, A. G. M. & Van Hellemond, J. J. (1998). Biochim. Biophys. Acta, 1365, 71–78.  CrossRef CAS PubMed Google Scholar
Return to citationTimson, D. J. (2016). Curr. Protein Pept. Sci. 17, 280–295.  Web of Science CAS PubMed Google Scholar
Return to citationVagin, A. & Lebedev, A. (2015). Acta Cryst. A71, s19.  Web of Science CrossRef IUCr Journals Google Scholar
Return to citationVaguine, A. A., Richelle, J. & Wodak, S. J. (1999). Acta Cryst. D55, 191–205.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationVelanker, S. S., Ray, S. S., Gokhale, R. S. S. S., Suma, S., Balaram, P., Balaram, P. & Murthy, M. R. (1997). Structure, 5, 751–761.  CrossRef CAS PubMed Google Scholar
Return to citationWierenga, R. K., Kalk, K. H. & Hol, W. G. J. (1987). J. Mol. Biol. 198, 109–121.  CrossRef CAS PubMed Web of Science Google Scholar
Return to citationWilliams, C. J., Headd, J. J., Moriarty, N. W., Prisant, M. G., Videau, L. L., Deis, L. N., Verma, V., Keedy, D. A., Hintze, B. J., Chen, V. B., Jain, S., Lewis, S. M., Arendall, W. B., Snoeyink, J., Adams, P. D., Lovell, S. C., Richardson, J. S. & Richardson, D. C. (2018). Protein Sci. 27, 293–315.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationWinter, G., Lobley, C. M. C. & Prince, S. M. (2013). Acta Cryst. D69, 1260–1273.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationWorld Health Organization (2013). Sustaining the Drive to Overcome the Global Impact of Neglected Tropical Diseases: Second WHO Report on Neglected Tropical Diseases. Geneva: World Health Organization.  Google Scholar
Return to citationWorld Health Organization (2020). Foodborne Trematodiases: Distribution of Fascioliasis Worldwide. Geneva: World Health Organization.  Google Scholar
Return to citationZinsser, V. L., Hoey, E. M., Trudgett, A. & Timson, D. J. (2013). Biochimie, 95, 2182–2189.  CrossRef CAS PubMed Google Scholar

This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.

Journal logoSTRUCTURAL BIOLOGY
COMMUNICATIONS
ISSN: 2053-230X
Follow Acta Cryst. F
Sign up for e-alerts
Follow Acta Cryst. on Twitter
Follow us on facebook
Sign up for RSS feeds