
Jayakanthan M
Bioinformatician
Supervisors: Prof.P.P.Mathur
Phone: 09843696114
Supervisors: Prof.P.P.Mathur
Phone: 09843696114
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Papers by Jayakanthan M
Results: We performed molecular docking simulation with six different inhibitors (ligand), which includes DTNB, NSC695265, thionitrobenzoic acid, 2-nitro-5-thiocyanobenzoic acid, 2-nitro-5-sulfo-sulfonyl-benzoic acid and NSC517871 into the redox-active site [C37-G38-H39-C40] of the PDI enzyme and the activity was inferred by redox inhibitory models. All ligands showed favourable interactions and most of them seemed to bind to hydrophobic amino acids Ala34, Trp36, Cys37, Cys40, His39, Thr68 and Phe80. The redox inhibitory conformations were energetically and statistically favored and supported the evidence from wet laboratory experiments reported in the literature.
Conclusion: We demonstrated that in silico docking experiment can be effectively carried out to recognize the redox inhibitory models of PDI with inhibitor molecules. Interestingly we found that number of docked clusters with each ligand varies in the range of five to eight and conveys that the binding specificity of each inhibitor varies for PDI. We also identified that Cys37 of the enzyme plays an important role in hydrogen bonding with inhibitors. This residue can be considered to being an active site for anti-HIV drug design. Therefore, by inhibiting PDI, one can, not only prevent the viral entry but also circumvent the problem of viral resistance
Description: ZifBASE provides an extensive collection of various natural and engineered ZFP. It uses standard names and a genetic and structural classification scheme to present data retrieved from UniProtKB, GenBank, Protein Data Bank, ModBase, Protein Model Portal and the literature. It also incorporates specialized features of ZFP including finger sequences and positions, number of fingers,
physiochemical properties, classes, framework, PubMed itations with links to experimental structures (PDB, if available) and modeled structures of natural zinc finger proteins. ZifBASE provides information on zinc finger proteins (both natural and engineered ones), the number of finger units in each of the zinc finger proteins (with multiple fingers), the synergy between the adjacent fingers and their positions. Additionally, it gives the individual finger sequence and their target DNA site to which it binds for better and clear understanding on the interactions of adjacent fingers. The current version of ZifBASE contains 139 entries of which 89 are engineered ZFPs, containing 3-7F totaling to 296 fingers. There are 50 natural zinc finger protein entries ranging from 2-13F, totaling to 307 fingers. It has sequences and structures from literature, Protein Data Bank, ModBase and Protein Model Portal. The interface is cross linked to other public databases like UniprotKB, PDB, ModBase and Protein Model Portal and PubMed for making it more
informative.
Conclusion: A database is established to maintain the information of the sequence features, including the class, framework, number of fingers, residues, position, recognition site and physio-chemical properties (molecular weight, isoelectric point) of both natural and engineered zinc finger proteins and dissociation constant of few. ZifBASE can provide more effective and efficient way of accessing the zinc finger protein sequences and their target binding sites with the links to their three-dimensional structures. All the data and functions are available at the advanced web-based search interface http://web.iitd.ac.in/~sundar/
zifbase.
and CPT.
male reproductive dysfunction.
Results: We performed molecular docking simulation with six different inhibitors (ligand), which includes DTNB, NSC695265, thionitrobenzoic acid, 2-nitro-5-thiocyanobenzoic acid, 2-nitro-5-sulfo-sulfonyl-benzoic acid and NSC517871 into the redox-active site [C37-G38-H39-C40] of the PDI enzyme and the activity was inferred by redox inhibitory models. All ligands showed favourable interactions and most of them seemed to bind to hydrophobic amino acids Ala34, Trp36, Cys37, Cys40, His39, Thr68 and Phe80. The redox inhibitory conformations were energetically and statistically favored and supported the evidence from wet laboratory experiments reported in the literature.
Conclusion: We demonstrated that in silico docking experiment can be effectively carried out to recognize the redox inhibitory models of PDI with inhibitor molecules. Interestingly we found that number of docked clusters with each ligand varies in the range of five to eight and conveys that the binding specificity of each inhibitor varies for PDI. We also identified that Cys37 of the enzyme plays an important role in hydrogen bonding with inhibitors. This residue can be considered to being an active site for anti-HIV drug design. Therefore, by inhibiting PDI, one can, not only prevent the viral entry but also circumvent the problem of viral resistance
Description: ZifBASE provides an extensive collection of various natural and engineered ZFP. It uses standard names and a genetic and structural classification scheme to present data retrieved from UniProtKB, GenBank, Protein Data Bank, ModBase, Protein Model Portal and the literature. It also incorporates specialized features of ZFP including finger sequences and positions, number of fingers,
physiochemical properties, classes, framework, PubMed itations with links to experimental structures (PDB, if available) and modeled structures of natural zinc finger proteins. ZifBASE provides information on zinc finger proteins (both natural and engineered ones), the number of finger units in each of the zinc finger proteins (with multiple fingers), the synergy between the adjacent fingers and their positions. Additionally, it gives the individual finger sequence and their target DNA site to which it binds for better and clear understanding on the interactions of adjacent fingers. The current version of ZifBASE contains 139 entries of which 89 are engineered ZFPs, containing 3-7F totaling to 296 fingers. There are 50 natural zinc finger protein entries ranging from 2-13F, totaling to 307 fingers. It has sequences and structures from literature, Protein Data Bank, ModBase and Protein Model Portal. The interface is cross linked to other public databases like UniprotKB, PDB, ModBase and Protein Model Portal and PubMed for making it more
informative.
Conclusion: A database is established to maintain the information of the sequence features, including the class, framework, number of fingers, residues, position, recognition site and physio-chemical properties (molecular weight, isoelectric point) of both natural and engineered zinc finger proteins and dissociation constant of few. ZifBASE can provide more effective and efficient way of accessing the zinc finger protein sequences and their target binding sites with the links to their three-dimensional structures. All the data and functions are available at the advanced web-based search interface http://web.iitd.ac.in/~sundar/
zifbase.
and CPT.
male reproductive dysfunction.