Literature DB >> 30946779

MedusaDock 2.0: Efficient and Accurate Protein-Ligand Docking With Constraints.

Jian Wang1, Nikolay V Dokholyan1,2.   

Abstract

Molecular docking is the key ingredient of virtual drug screening, a promising and cost-effective approach for finding new drugs. A critical limitation of this approach is the inadequate sampling efficiency of both ligand and/or receptor conformations for finding the lowest energy bound state. To circumvent this limitation, we develop a protein-ligand docking methodology capable of incorporating structural constraints, experimentally derived or theoretically predicted, to improve accuracy and efficiency. We develop a web server with a user-friendly online graphical interface as a platform for accurate and efficient protein-ligand molecule docking.

Entities:  

Year:  2019        PMID: 30946779      PMCID: PMC6597311          DOI: 10.1021/acs.jcim.8b00905

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


  29 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Effective energy function for proteins in solution.

Authors:  T Lazaridis; M Karplus
Journal:  Proteins       Date:  1999-05-01

3.  HADDOCK: a protein-protein docking approach based on biochemical or biophysical information.

Authors:  Cyril Dominguez; Rolf Boelens; Alexandre M J J Bonvin
Journal:  J Am Chem Soc       Date:  2003-02-19       Impact factor: 15.419

4.  The price of innovation: new estimates of drug development costs.

Authors:  Joseph A DiMasi; Ronald W Hansen; Henry G Grabowski
Journal:  J Health Econ       Date:  2003-03       Impact factor: 3.883

5.  Improved protein-ligand docking using GOLD.

Authors:  Marcel L Verdonk; Jason C Cole; Michael J Hartshorn; Christopher W Murray; Richard D Taylor
Journal:  Proteins       Date:  2003-09-01

6.  Can contact potentials reliably predict stability of proteins?

Authors:  Jainab Khatun; Sagar D Khare; Nikolay V Dokholyan
Journal:  J Mol Biol       Date:  2004-03-05       Impact factor: 5.469

Review 7.  Docking and scoring in virtual screening for drug discovery: methods and applications.

Authors:  Douglas B Kitchen; Hélène Decornez; John R Furr; Jürgen Bajorath
Journal:  Nat Rev Drug Discov       Date:  2004-11       Impact factor: 84.694

8.  ROSETTALIGAND: protein-small molecule docking with full side-chain flexibility.

Authors:  Jens Meiler; David Baker
Journal:  Proteins       Date:  2006-11-15

9.  MedusaScore: an accurate force field-based scoring function for virtual drug screening.

Authors:  Shuangye Yin; Lada Biedermannova; Jiri Vondrasek; Nikolay V Dokholyan
Journal:  J Chem Inf Model       Date:  2008-08-02       Impact factor: 4.956

10.  Finding the needle in the haystack: why high-throughput screening is good for your health.

Authors:  G Wynne Aherne; Edward McDonald; Paul Workman
Journal:  Breast Cancer Res       Date:  2002-06-10       Impact factor: 6.466

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  8 in total

Review 1.  Application of Mathematical Modeling and Computational Tools in the Modern Drug Design and Development Process.

Authors:  Md Rifat Hasan; Ahad Amer Alsaiari; Burhan Zain Fakhurji; Mohammad Habibur Rahman Molla; Amer H Asseri; Md Afsar Ahmed Sumon; Moon Nyeo Park; Foysal Ahammad; Bonglee Kim
Journal:  Molecules       Date:  2022-06-29       Impact factor: 4.927

2.  The structural heterogeneity of α-synuclein is governed by several distinct subpopulations with interconversion times slower than milliseconds.

Authors:  Jiaxing Chen; Sofia Zaer; Paz Drori; Joanna Zamel; Khalil Joron; Nir Kalisman; Eitan Lerner; Nikolay V Dokholyan
Journal:  Structure       Date:  2021-05-19       Impact factor: 5.871

3.  Yuel: Improving the Generalizability of Structure-Free Compound-Protein Interaction Prediction.

Authors:  Jian Wang; Nikolay V Dokholyan
Journal:  J Chem Inf Model       Date:  2022-02-01       Impact factor: 6.162

4.  Modeling Electrostatic Force in Protein-Protein Recognition.

Authors:  H B Mihiri Shashikala; Arghya Chakravorty; Emil Alexov
Journal:  Front Mol Biosci       Date:  2019-09-25

5.  Molecular docking-based computational platform for high-throughput virtual screening.

Authors:  Baohua Zhang; Hui Li; Kunqian Yu; Zhong Jin
Journal:  CCF Trans High Perform Comput       Date:  2022-01-13

6.  NeuralDock: Rapid and Conformation-Agnostic Docking of Small Molecules.

Authors:  Congzhou M Sha; Jian Wang; Nikolay V Dokholyan
Journal:  Front Mol Biosci       Date:  2022-03-22

Review 7.  Motor neuron-derived induced pluripotent stem cells as a drug screening platform for amyotrophic lateral sclerosis.

Authors:  Mariana A Amorós; Esther S Choi; Axel R Cofré; Nikolay V Dokholyan; Marcelo Duzzioni
Journal:  Front Cell Dev Biol       Date:  2022-08-24

Review 8.  Computational strategies for the discovery of biological functions of health foods, nutraceuticals and cosmeceuticals: a review.

Authors:  Laureano E Carpio; Yolanda Sanz; Rafael Gozalbes; Stephen J Barigye
Journal:  Mol Divers       Date:  2021-07-14       Impact factor: 3.364

  8 in total

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