Keywords
Dihydroorotate Dehydrogenase, Schistosomiasis, Drugs, Neglected Tropical Disease
This article is included in the Cheminformatics gateway.
This article is included in the Neglected Tropical Diseases collection.
Dihydroorotate Dehydrogenase, Schistosomiasis, Drugs, Neglected Tropical Disease
DHODH: dihydroorotate dehydrogenase, SmDHODH: Schistosoma mansoni dihydroorotate dehydrogenase, SchDHODH: Schistosoma dihydroorotate dehydrogenase, ShDHODH: Schistosoma haematobium dihydroorotate dehydrogenase, SjDHODH: Schistosoma japonicum dihydroorotate dehydrogenase, HsDHODH: Homo sapien dihydroorotate dehydrogenase, MmDHODH: Mus musculus dihydroorotate dehydrogenase, RrDHODH: Rattus rattus dihydroorotate dehydrogenase, NTD: neglected tropical disease, PLIs: protein-ligand interactions
The public health impacts of schistosomiasis, caused by Schistosoma species, are second only to malaria in endemic regions and it is an important neglected tropical disease (NTD)1,2. More than 240 million people are infected with one or more Schistosoma species in the tropical or subtropical regions2–4. Approximately 85% of these infections occur in sub-Sahara Africa3,4. Movement of refugees and mass migration of individuals from endemic to non-endemic areas have recently expanded the areas at risk of schistosomiasis and increased disease prevalence in recent times5–7. Around 200,000 people die from Schistosoma infections each year and many more suffer with serious disabilities. Moreover, there is great economic loss in areas where schistosomiasis is endemic. Reports have shown that over 120 million people are symptomatic, with 20 million having severe clinical disease, in endemic areas1,2,4. The disease has been reported to be endemic in 76 countries, in which approximately 4 billion people live. Involvement in agricultural work, domestic chores and recreational activities can expose them to infested water1,2,8.
The control of this disease is solely dependent on the chemotherapeutic drug praziquantel, which is used to treat infected individuals. There is no effective vaccine currently3,9. Other chemotherapy alternatives include oxamniquine and metrifonate, although these have some setbacks, such as being ineffective against all life stages of the parasite and severe side effects, which is why praziquantel is recommended10–17. Although praziquantel is effective, relatively safe and low cost, laboratory and field studies have shown the emergence of a resistant parasite strain in certain regions. This has led to a serious search for chemotherapeutic alternatives for the treatment and control of schistosomiasis9,10. Therefore, there is a need to search for alternatives using both laboratory and computational investigative methods to explore sequenced Schistosoma genomes9.
The recent sequencing of Schistosoma genomes, alongside the quickly evolving field of bioinformatics, has unveiled numerous opportunities to identify and characterize important proteins, which can aid in the development of novel drugs for disease control. The application of bioinformatics tools in extracting significant meaning from the sequence data have improved our knowledge of the mode of action of proteins18. Modeling protein-ligand interactions (PLIs) to determine the possible biological interactions that occur in vivo has helped in understanding protein function and predicting their mechanisms of action. PLIs are also important in the development of novel therapies and diagnostic tools19–21.
Dihydroorotate dehydrogenase (DHODH) is a crucial enzyme that catalyzes the conversion of dihydroorotate (DHO) to orotate during the fourth and only redox step of the de novo pyrimidine nucleotide biosynthetic pathway22–25. Schistosoma DHODH has been highly recommended as a druggable target that could offer alternative routes for schistosomiasis control22,24. Detailed structural differences have been demonstrated between human and Schistosoma DHODH9. Furthermore, Schistosoma mansoni cannot synthesize purine bases de novo, hence depends exclusively on the salvage pathway.
In this study, the Schistosoma DHODH sequences were thoroughly explored and compounds from an available drug database were docked against this enzyme to assess their suitability as potential drugs. The results show that 13 approved drugs used in the treatment of other diseases have the potential to inhibit the activities of SmDHODH.
SchDHODH protein sequences were obtained from the NCBI protein database. The sequences were confirmed in SchistoDB for S. haematobium (two protein sequences) and GeneDB for S. mansoni (two protein sequences) and S. japonicum (one protein sequence). All sequences were obtained in FASTA format. Each of these protein sequences were used for a BLASTp search of the non-redundant protein database on NCBI, employing the protein-protein BLAST algorithm. Results with similarities above 50% and with a query coverage and expectation value of >70% and 0.0, respectively, were obtained and combined for phylogenetic tree construction. Hypothetical and unknown proteins were excluded, even when there was high identity. After combining these sequences, duplicate protein sequences were also excluded. Host DHODH protein sequences were also obtained from NCBI using the search terms as targets “Homo sapiens + DHODH”, “Mus musculus + DHODH” and “Rattus rattus + DHODH” separately. The protein sequences that had 98% similarity to the targets were retrieved for further analyses. One HsDHODH, one MmDHODH and two RrDHODH sequences were retrieved. Each SchDHODH sequence was used to search DrugBank (version 5.1.2, released 2018-12-20)26 for potential compounds that may bind. All settings were at default.
Functional domains for each SchDHODH, MnDHODH and HsDHODH were computed using the normal and genomic mode of SMART27,28. The functional domains predicted were validated using other webtools; NCBI Conserved Domains29–32, PROSITE33, InterPro34 and Pfam version 32.035. Default parameters were used for these analyses.
Since, for many disordered proteins, binding affinity with their receptors is regulated by post-translational modification, SmDHODH protein was analyzed for intrinsically disorder. SmDHODH was the only protein used in this analysis because it was used for modeling and protein-drug interaction. PONDR, which can predict natural disordered regions in a protein sequence, was used. This was validated using other similar tools such as SLIDER webserver36 and DisEMBL Intrinsic Protein Disorder Prediction 1.537.
Each protein’s physiochemical properties, which includes the number of residues, molecular weight and extinction coefficient were predicted using the ProtParam web tool38. These properties were validated using the PepCalc peptide property calculator and Protein Physicochemical Properties Prediction Tool (PPPPT) web tools.
All SchDHODH, HsDHODH and MmDHODH sequences were compared by Multiple Sequence Alignment (MSA) and the conserved and deleted regions were analyzed. The MSA analysis was carried out using Clustal Omega tools in Jalview39. The MSA was analyzed for conserved properties and regions of similarity.
Phylogenetic trees were constructed using MEGA version 7 software40. The constructed phylogenetic trees were validated using Phylogeny.fr41. The tree file, in Newick format, was exported and visualized in FigTree software version 1.4.242 for proper annotation. The pairwise distances were also estimated, using the Poisson correction model in MEGA40.
Protein-protein interactions were determined using the STRING database for functional protein association networks. Each of the SchDHODH, HsDHODH and MmDHODH protein sequences were searched on the STRING and the interactions were downloaded in jpeg format.
SmDHODH sequences were modelled using SWISS-MODEL43–47. The template 3u2o.1.A, with a sequence identity of 47.95%, GMQE of 0.74 and QMEAN of -0.98 was selected as the model of choice for SmDHODH sequences.
Molecular docking was carried out using DockingServer48 and Gasteiger partial charges were added to the ligand atoms49, as described by Kumar, 201150. Proteins were uploaded, protein charges were calculated, and solvation parameters were calculated and cleaned. All advance docking parameters were left at default.
In total, five SchDHODH sequences were retrieved for further analyses. One for S. japonicum and two proteoforms each for S. haematobium and S. mansoni. One HsDHODH sequence, two MmDHODH sequences and two RrDHODH sequences (Figure 1 and Project 1, Extended data)51 were included in the study for proper comparison as mammals, including humans, are the hosts, while rats and mice are commonly used in the laboratory for schistosomiasis studies. Of 12,110 drugs in the database, 26 compounds that can bind to SchDHODH proteins were identified and retrieved from DrugBank. These drugs were retrieved with E value: 7.46761e-71, Bit score: 224.172, query length: 379 and alignment length: 314. These results were the same for each of the SchDHODH sequences searched. All of the drugs were at the experimental phase, except flavin mononucleotide, capecitabine and leflunomide, which are approved for the treatment of other diseases, and manitimus, which is still at the investigational phase. The mode of action of most of these retrieved drugs are not known, except for atovaquone, leflunomide and teriflunomide, which act as inhibitors to known proteins other than DHODH.
The protein domain analysis (see Project 3, Extended data)52 shows that all analyzed proteins have the dihydroorotate dehydrogenase domain (DHO_dh), while ShDHODH proteins have dynein light domains and transmembrane helix regions, which are not seen in the other proteins. The disorder predictions show that a small fraction of the SmDHODH protein is disordered, as shown in Project 2, Extended data53.
Physiochemical parameters (see Project 1, Extended data)51 and alignment (Figure 1), as well as phylogenetic analyses of all the SchDHODH sequences (Figure 2), show that the DHODH proteins of S. haematobium and S. mansoni could be evolutionary closer than that of S. japonicum. However, S. japonicum evolved 0.8928 million years ago (mya), compared to S. haematobium which evolved 0.8207 mya and S. mansoni which evolved 0.8012 mya. The last common ancestor for DHODH of both S. haematobium and S. mansoni was 0.8379 mya. The host DHODHs evolved more recently, as shown in Figure 2. These results could also explain the similarities between DHODHs that are shown in the sequence alignment (Figure 1). Mutations that occurred in ShDHODHs were also observed in the SmDHODHs, though there are some points where all three Schistosoma species shared mutation points. However, the similarities between ShDHODH and SmDHODH sequences do not correlate with the physiochemical parameters; ShDHODH theoretical pI, extinction coefficients, instability index, aliphatic index and grand average of hydropathicity scores are more similar to SjDHODH than SmDHODH (see Project 1, Extended data)51.
The prediction of possible in vivo interactions of these DHODHs showed that SchDHODH binds to NADPH (gene Smp_166580), putative glutamate synthase (Smp_128380.2) and NADH-cytochrome B5 reductase (Smp_053230) (Figure 3). These four proteins bind to each other; however, it is unclear whether they form a complex. SchDHODHs have an inhibitory effect on orotate phosphoribosyltransferase (Smp_050540), which has an inhibitory transcriptional regulation on aspartate carbamoyltransferase (Smp_186670) and vice versa. HsDHODH and MmDHODHs non-specifically bind to collapsin response mediator protein 1 (Crmp1) and different proteoforms of dihydropyrimidinase (Dpys). However, HsDHODH and MmDHODHs have an inhibitory role on carbamoyl-phosphate synthetase (Cps1) and uridine monophosphate synthetase (Umps).
SmDHODH was selected for modeling and protein-drug interaction studies as a representative for the three SchDHODHs, since sequence alignment and phylogenetic analysis showed that they are all closely related. The modelled SmDHODH used for docking against the 26 potential compounds is shown in Figure 4. After the molecular docking, 13 drugs had a binding affinity of less than -6kcal/mol, suggesting a strong bond21, with SchDHODH (Table 1 and Figure 5) and details of these interactions are shown in Figure 6. The results show that 3-{[(3-fluoro-3'-methoxybiphenyl-4-yl)amino]carbonyl}thiophene-2-carboxylic acid (accession number DB07976) and 3-{[(3-fluoro-3'-methoxybiphenyl-4-yl)amino]carbonyl}thiophene-2-carboxylic acid (accession number DB07978) have the highest binding affinity, with an estimated free energy of binding (kcal/mol) of -10.18 and -10.66, respectively. Leflunomide (accession number DB01097) and N-anthracen-2-yl-5-methyl[1,2,4]triazolo[1,5-a]pyrimidin-7-amine (accession number DB08006) both have an estimated free energy of binding of -8.12. The SchDHODH protein residues that interact with the different drugs in Table 1, are shown stick while drugs cartoon. It was observed that SmDHODH interacts with the various compounds using hydrogen bonds, polar, hydrophobic, pi-pi, halogen and other forms of bonding.
In the present study, known drugs that are either approved for treatment or at the experimental stage were searched as targets of DHODHs. Of those searched, 13 had a strong binding affinity. Binding affinity of less than -6kcal/mol is regarded a strong bond21. The strength of hydrogen, polar, pi-pi, halogen and hydrophobic bonding between the drugs and the SmDHODH shows the stability of the ligand inside the binding pocket. Based on the interaction properties of the ligand-protein complex, all the drugs have strong affinity, however, drug DB07978 (2-({[2,3,5,6-tetrafluoro-3'-(trifluoromethoxy)biphenyl-4-yl]amino}carbonyl)cyclopenta-1,3-diene-1-carboxylic acid) and DB07976 (3-{[(3-fluoro-3'-methoxybiphenyl-4-yl)amino]carbonyl}thiophene-2-carboxylic acid) have the strongest free energy of binding among all the drugs screened.
One of the drugs with a high affinity (estimated free energy of binding of -9.56) to SmDHODH is flavin mononucleotide (accession number DB03247) (vitamin B2). This compound is naturally present in most food and used as a food additive54–57. Riboflavin supplementation has been known to increase the efficiency of cell energy metabolism58,59. Manitimus (accession number DB06481) was also identified by the docking experiment as a potential drug for schistosomiasis. It is an efficacious and well tolerated drug for kidney transplant patients. It is a novel compound with multiple mechanisms of action60,61. One mechanism is via the suppression of de novo pyrimidine biosynthesis, inhibiting the action of dihydroorotate dehydrogenase and consequently inhibiting cell proliferation62.
Another promising drug is capecitabine (accession number DB01101), which is a chemotherapy medication used to treat numerous types of neoplasms, including those of the breast, esophagus, larynx and gastrointestinal and genitourinary tracts. Capecitabine is a prodrug and is enzymatically converted to fluorouracil (an antimetabolite) in the tumor, where it inhibits DNA synthesis and slows growth of tumor tissue63–65. Leflunomide (accession number DB01097) is an approved immunosuppressive disease-modifying antirheumatic drug that has been in use for the treatment of rheumatoid arthritis and psoriatic arthritis for more than 10 years. Its mode of action is via pyrimidine synthesis by inhibiting dihydroorotate dehydrogenase26,66–70.
There is an urgent need to search for and develop novel drugs that can be used in the treatment of schistosomiasis to complement treatment with praziquantel as there are growing number of reports of praziquantel-resistant Schistosoma strains in the laboratory as well as in the field. Furthermore, there are no efficient vector control strategies. SmDHODH has been proposed as druggable target in the de novo pyrimidine biosynthesis pathway for schistosomiasis chemotherapy. We used the SmDHODH sequence to search for all possible inhibiting compounds from the DrugBank database and found 13 with the potential to bind efficiently. If these compounds, which are already approved or in experimental stages, are tested in a wet laboratory experiment against the Schistosoma parasite and any are found to be effective, they could be easier than novel compounds to approve to supplement praziquantel for the control of schistosomiasis in the future.
SJCHGC02326 protein [Schistosoma japonicum], Accession number AAW26221: https://identifiers.org/ncbiprotein/AAW26221
Dihydroorotate dehydrogenase (quinone), mitochondrial [Schistosoma haematobium], Accession number KGB36135: http://identifiers.org/ncbiprotein/KGB36135
Dihydroorotate dehydrogenase (quinone), mitochondrial [Schistosoma haematobium], Accession number XP_012795900: https://identifiers.org/ncbiprotein/XP_012795900
dihydroorotate dehydrogenase [Schistosoma mansoni], Accession number CCD78646: http://identifiers.org/ncbiprotein/CCD78646
dihydroorotate dehydrogenase [Schistosoma mansoni], Accession number XP_018651255: https://identifiers.org/ncbiprotein/XP_018651255
dihydroorotate dehydrogenase (quinone), mitochondrial precursor [Mus musculus], Accession number NP_064430 : http://identifiers.org/ncbiprotein/NP_064430
Chain A, DIHYDROOROTATE DEHYDROGENASE [Rattus rattus], Accession number 1UUM_A: http://identifiers.org/ncbiprotein/47169292
Chain B, DIHYDROOROTATE DEHYDROGENASE [Rattus rattus], Accession number 1UUM_B: http://identifiers.org/ncbiprotein/47169293
Crystal structure of human dihydroorotate dehydrogenase at 1.7 A resolution [Homo sapiens], Accession number 5K9D: https://identifiers.org/pdb/5K9D
Figshare: Extended data 1_Physiochemical Properties.docx. https://doi.org/10.6084/m9.figshare.8019683.v151
Figshare: Prediction of intrinsic disorder of SmDHODH.docx https://doi.org/10.6084/m9.figshare.8050541.v153
Figshare: Extended data 3_Protein domain analysis of DHODHs of the Schistosoma sp and Host.docx https://doi.org/10.6084/m9.figshare.8051777.v152
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
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Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Not applicable
Are all the source data underlying the results available to ensure full reproducibility?
No source data required
Are the conclusions drawn adequately supported by the results?
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Competing Interests: No competing interests were disclosed.
Reviewer Expertise: structural biology, medicinal chemistry, enzymology
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Not applicable
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Computer-Aided Drug Discovery, Chemoinformatics, Bioinformatics, Molecular Modeling
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
Not applicable
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Bioinformatics, Genomics, Proteomics, Microarray, Single cell sequencing, miRNA, noncoding RNAs, drug design.
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