Literature DB >> 27486927

Driving Structure-Based Drug Discovery through Cosolvent Molecular Dynamics.

Phani Ghanakota1, Heather A Carlson1.   

Abstract

Identifying binding hotspots on protein surfaces is of prime interest in structure-based drug discovery, either to assess the tractability of pursuing a protein target or to drive improved potency of lead compounds. Computational approaches to detect such regions have traditionally relied on energy minimization of probe molecules onto static protein conformations in the absence of the natural aqueous environment. Advances in high performance computing now allow us to assess hotspots using molecular dynamics (MD) simulations. MD simulations integrate protein flexibility and the complicated role of water, thereby providing a more realistic assessment of the complex kinetics and thermodynamics at play. In this review, we describe the evolution of various cosolvent-based MD techniques and highlight a myriad of potential applications for such technologies in computational drug development.

Entities:  

Mesh:

Year:  2016        PMID: 27486927      PMCID: PMC5217181          DOI: 10.1021/acs.jmedchem.6b00399

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  80 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.  Escaping free-energy minima.

Authors:  Alessandro Laio; Michele Parrinello
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-23       Impact factor: 11.205

3.  Identifying and characterizing binding sites and assessing druggability.

Authors:  Thomas A Halgren
Journal:  J Chem Inf Model       Date:  2009-02       Impact factor: 4.956

4.  Structured water molecules in the binding site of bromodomains can be displaced by cosolvent.

Authors:  Danzhi Huang; Emanuele Rossini; Sandra Steiner; Amedeo Caflisch
Journal:  ChemMedChem       Date:  2013-06-26       Impact factor: 3.466

5.  High-resolution structure of the p53 core domain: implications for binding small-molecule stabilizing compounds.

Authors:  William C Ho; Cheng Luo; Kehao Zhao; Xiaomei Chai; Mary X Fitzgerald; Ronen Marmorstein
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2006-11-23

6.  Identifying binding hot spots on protein surfaces by mixed-solvent molecular dynamics: HIV-1 protease as a test case.

Authors:  Peter M U Ung; Phani Ghanakota; Sarah E Graham; Katrina W Lexa; Heather A Carlson
Journal:  Biopolymers       Date:  2016-01       Impact factor: 2.505

7.  AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

Authors:  Garrett M Morris; Ruth Huey; William Lindstrom; Michel F Sanner; Richard K Belew; David S Goodsell; Arthur J Olson
Journal:  J Comput Chem       Date:  2009-12       Impact factor: 3.376

8.  Small molecule inhibitors of the MDM2-p53 interaction discovered by ensemble-based receptor models.

Authors:  Anna L Bowman; Zaneta Nikolovska-Coleska; Haizhen Zhong; Shaomeng Wang; Heather A Carlson
Journal:  J Am Chem Soc       Date:  2007-09-29       Impact factor: 15.419

9.  Enrichment of druggable conformations from apo protein structures using cosolvent-accelerated molecular dynamics.

Authors:  Andrew Kalenkiewicz; Barry J Grant; Chao-Yie Yang
Journal:  Biology (Basel)       Date:  2015-04-21

10.  Parameter choice matters: validating probe parameters for use in mixed-solvent simulations.

Authors:  Katrina W Lexa; Garrett B Goh; Heather A Carlson
Journal:  J Chem Inf Model       Date:  2014-08-01       Impact factor: 4.956

View more
  24 in total

Review 1.  In silico structure-based approaches to discover protein-protein interaction-targeting drugs.

Authors:  Woong-Hee Shin; Charles W Christoffer; Daisuke Kihara
Journal:  Methods       Date:  2017-08-09       Impact factor: 3.608

2.  Allosteric Modulation of Intact γ-Secretase Structural Dynamics.

Authors:  Ji Young Lee; Zhiwei Feng; Xiang-Qun Xie; Ivet Bahar
Journal:  Biophys J       Date:  2017-12-19       Impact factor: 4.033

3.  Free Energies and Entropies of Binding Sites Identified by MixMD Cosolvent Simulations.

Authors:  Phani Ghanakota; Debarati DasGupta; Heather A Carlson
Journal:  J Chem Inf Model       Date:  2019-05-02       Impact factor: 4.956

4.  Site-Resolved and Quantitative Characterization of Very Weak Protein-Ligand Interactions.

Authors:  Brian Fuglestad; Nicole E Kerstetter; A Joshua Wand
Journal:  ACS Chem Biol       Date:  2019-07-01       Impact factor: 5.100

5.  Application of Site-Identification by Ligand Competitive Saturation in Computer-Aided Drug Design.

Authors:  Himanshu Goel; Anthony Hazel; Wenbo Yu; Sunhwan Jo; Alexander D MacKerell
Journal:  New J Chem       Date:  2021-11-29       Impact factor: 3.591

6.  Ammonia stimulates SCAP/Insig dissociation and SREBP-1 activation to promote lipogenesis and tumour growth.

Authors:  Chunming Cheng; Feng Geng; Zoe Li; Yaogang Zhong; Huabao Wang; Xiang Cheng; Yue Zhao; Xiaokui Mo; Craig Horbinski; Wenrui Duan; Arnab Chakravarti; Xiaolin Cheng; Deliang Guo
Journal:  Nat Metab       Date:  2022-05-09

Review 7.  New perspectives in cancer drug development: computational advances with an eye to design.

Authors:  Matteo Castelli; Stefano A Serapian; Filippo Marchetti; Alice Triveri; Valentina Pirota; Luca Torielli; Simona Collina; Filippo Doria; Mauro Freccero; Giorgio Colombo
Journal:  RSC Med Chem       Date:  2021-07-07

8.  MixMD Probeview: Robust Binding Site Prediction from Cosolvent Simulations.

Authors:  Sarah E Graham; Noah Leja; Heather A Carlson
Journal:  J Chem Inf Model       Date:  2018-06-26       Impact factor: 4.956

9.  The AutoDock suite at 30.

Authors:  David S Goodsell; Michel F Sanner; Arthur J Olson; Stefano Forli
Journal:  Protein Sci       Date:  2020-09-12       Impact factor: 6.725

10.  Identification of Cryptic Binding Sites Using MixMD with Standard and Accelerated Molecular Dynamics.

Authors:  Richard D Smith; Heather A Carlson
Journal:  J Chem Inf Model       Date:  2021-02-18       Impact factor: 4.956

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.