Literature DB >> 26509288

ProBiS-CHARMMing: Web Interface for Prediction and Optimization of Ligands in Protein Binding Sites.

Janez Konc1,2, Benjamin T Miller3, Tanja Štular2, Samo Lešnik1, H Lee Woodcock4, Bernard R Brooks3, Dušanka Janežič2.   

Abstract

Proteins often exist only as apo structures (unligated) in the Protein Data Bank, with their corresponding holo structures (with ligands) unavailable. However, apoproteins may not represent the amino-acid residue arrangement upon ligand binding well, which is especially problematic for molecular docking. We developed the ProBiS-CHARMMing web interface by connecting the ProBiS ( http://probis.cmm.ki.si ) and CHARMMing ( http://www.charmming.org ) web servers into one functional unit that enables prediction of protein-ligand complexes and allows for their geometry optimization and interaction energy calculation. The ProBiS web server predicts ligands (small compounds, proteins, nucleic acids, and single-atom ligands) that may bind to a query protein. This is achieved by comparing its surface structure against a nonredundant database of protein structures and finding those that have binding sites similar to that of the query protein. Existing ligands found in the similar binding sites are then transposed to the query according to predictions from ProBiS. The CHARMMing web server enables, among other things, minimization and potential energy calculation for a wide variety of biomolecular systems, and it is used here to optimize the geometry of the predicted protein-ligand complex structures using the CHARMM force field and to calculate their interaction energies with the corresponding query proteins. We show how ProBiS-CHARMMing can be used to predict ligands and their poses for a particular binding site, and minimize the predicted protein-ligand complexes to obtain representations of holoproteins. The ProBiS-CHARMMing web interface is freely available for academic users at http://probis.nih.gov.

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Year:  2015        PMID: 26509288      PMCID: PMC8725999          DOI: 10.1021/acs.jcim.5b00534

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  37 in total

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Journal:  J Comput Chem       Date:  2014-11-03       Impact factor: 3.376

2.  The multiple common point set problem and its application to molecule binding pattern detection.

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Journal:  J Comput Biol       Date:  2006-03       Impact factor: 1.479

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Journal:  J Chem Inf Model       Date:  2012-11-28       Impact factor: 4.956

5.  CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields.

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Journal:  J Comput Chem       Date:  2010-03       Impact factor: 3.376

6.  All-atom empirical potential for molecular modeling and dynamics studies of proteins.

Authors:  A D MacKerell; D Bashford; M Bellott; R L Dunbrack; J D Evanseck; M J Field; S Fischer; J Gao; H Guo; S Ha; D Joseph-McCarthy; L Kuchnir; K Kuczera; F T Lau; C Mattos; S Michnick; T Ngo; D T Nguyen; B Prodhom; W E Reiher; B Roux; M Schlenkrich; J C Smith; R Stote; J Straub; M Watanabe; J Wiórkiewicz-Kuczera; D Yin; M Karplus
Journal:  J Phys Chem B       Date:  1998-04-30       Impact factor: 2.991

7.  ProBiS-database: precalculated binding site similarities and local pairwise alignments of PDB structures.

Authors:  Janez Konc; Tomo Cesnik; Joanna Trykowska Konc; Matej Penca; Dušanka Janežič
Journal:  J Chem Inf Model       Date:  2012-02-07       Impact factor: 4.956

8.  ProBiS-ligands: a web server for prediction of ligands by examination of protein binding sites.

Authors:  Janez Konc; Dušanka Janežič
Journal:  Nucleic Acids Res       Date:  2014-05-26       Impact factor: 16.971

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10.  Web-based computational chemistry education with CHARMMing III: Reduction potentials of electron transfer proteins.

Authors:  B Scott Perrin; Benjamin T Miller; Vinushka Schalk; H Lee Woodcock; Bernard R Brooks; Toshiko Ichiye
Journal:  PLoS Comput Biol       Date:  2014-07-24       Impact factor: 4.475

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2.  Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling.

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4.  LmjF.36.3850, a novel hypothetical Leishmania major protein, contributes to the infection.

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5.  Identification of Ecdysone Hormone Receptor Agonists as a Therapeutic Approach for Treating Filarial Infections.

Authors:  Amruta S Mhashilkar; Sai L Vankayala; Canhui Liu; Fiona Kearns; Priyanka Mehrotra; George Tzertzinis; Subba R Palli; H Lee Woodcock; Thomas R Unnasch
Journal:  PLoS Negl Trop Dis       Date:  2016-06-14

6.  Global organization of a binding site network gives insight into evolution and structure-function relationships of proteins.

Authors:  Juyong Lee; Janez Konc; Dušanka Janežič; Bernard R Brooks
Journal:  Sci Rep       Date:  2017-09-14       Impact factor: 4.379

7.  Conformational Studies of Glucose Transporter 1 (GLUT1) as an Anticancer Drug Target.

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9.  Analgesic Activity, Chemical Profiling and Computational Study on Chrysopogon aciculatus.

Authors:  S M Neamul Kabir Zihad; Niloy Bhowmick; Shaikh Jamal Uddin; Nazifa Sifat; Md Shamim Rahman; Razina Rouf; Muhammad Torequl Islam; Shrabanti Dev; Hazrina Hazni; Shahin Aziz; Eunüs S Ali; Asish K Das; Jamil A Shilpi; Lutfun Nahar; Satyajit D Sarker
Journal:  Front Pharmacol       Date:  2018-10-15       Impact factor: 5.810

10.  Loop Grafting between Similar Local Environments for Fc-Silent Antibodies.

Authors:  Samo Lešnik; Milan Hodošček; Barbara Podobnik; Janez Konc
Journal:  J Chem Inf Model       Date:  2020-05-19       Impact factor: 4.956

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