ArticleJournal of computer-aided molecular design2009
Web application for studying the free energy of binding and protonation states of protein-ligand complexes based on HINT.
Article in Journal of computer-aided molecular design, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 24 citations in OpenAlex.
- Computational reconstruction of atomistic protein structures from coarse-grained models.Computational and structural biotechnology journal · 2020Review
- ProteinsPlus: a web portal for structure analysis of macromolecules.Nucleic acids research · 2017Article
- DynaDom: structure-based prediction of T cell receptor inter-domain and T cell receptor-peptide-MHC (class I) association angles.BMC structural biology · 2017Article
- Kinetic barriers in the isomerization of substituted ureas: implications for computer-aided drug design.Journal of computer-aided molecular design · 2016Article
- Protoss: a holistic approach to predict tautomers and protonation states in protein-ligand complexes.Journal of cheminformatics · 2014Article
- The role of protonation states in ligand-receptor recognition and binding.Current pharmaceutical design · 2013Review
- Factors influencing protein tyrosine nitration--structure-based predictive models.Free radical biology & medicine · 2011Article
- Bound water at protein-protein interfaces: partners, roles and hydrophobic bubbles as a conserved motif.PloS one · 2011Article
- Hydrophobicity--shake flasks, protein folding and drug discovery.Current topics in medicinal chemistry · 2010Review
- Fast automated placement of polar hydrogen atoms in protein-ligand complexes.Journal of cheminformatics · 2009Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
A public web server performing computational titration at the active site in a protein-ligand complex has been implemented. This calculation is based on the Hydropathic interaction noncovalent force field. From 3D coordinate data for the protein, ligand and bridging waters (if available), the server predicts the best combination of protonation states for each ionizable residue and/or ligand functional group as well as the Gibbs free energy of binding for the ionization-optimized protein-ligand complex. The 3D structure for the modified molecules is available as output. In addition, a graph depicting how this energy changes with acidity, i.e., as a function of added protons, can be obtained. This data may prove to be of use in preparing models for virtual screening and molecular docking. A few illustrative examples are presented. In beta secretase (2va7) computational titration flipped the amide groups of Gln12 and Asn37 and protonated a ligand amine yielding an improvement of 6.37 kcal mol(-1) in the protein-ligand binding score. Protonation of Glu139 in mutant HIV-1 reverse transcriptase (2opq) allows a water bridge between the protein and inhibitor that increases the protein-ligand interaction score by 0.16 kcal mol(-1). In human sialidase NEU2 complexed with an isobutyl ether mimetic inhibitor (2f11) computational titration suggested that protonating Glu218, deprotonating Arg237, flipping the amide bond on Tyr334, and optimizing the positions of several other polar protons would increase the protein-ligand interaction score by 0.71 kcal mol(-1).
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