Literature DB >> 19610599

Fragment-based computation of binding free energies by systematic sampling.

Matthew Clark1, Siavash Meshkat, George T Talbot, Paolo Carnevali, Jeffrey S Wiseman.   

Abstract

A fragment-based method for computing protein-ligand binding free energies by systematic sampling has been developed. Systematic sampling of fragment-protein interactions in translational and rotational space is followed by de novo assembly of fragments into molecules and computation of binding free energies for the molecules with statistical mechanics. The rigorous sampling provides independence from the choice of initial binding pose and assembling fragments enables evaluation of binding of a large number of molecule poses with relatively little computation. The method allows a full sampling of possible conformations and avoids the "conformational focusing" problem associated with free energy methods that sample only limited conformational and orientation changes from a starting pose. The direct computation of the entropy loss upon assembling fragments into molecules is an innovation for fragment-based methods. The computed binding free energies are compared to calorimetric data for a series of ligands for the T4 lysozyme L99A mutant and binding constants for a series of p38 MAP kinase ligands. In both cases, the standard error of prediction is close to 1 kcal/mol.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19610599     DOI: 10.1021/ci900132r

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


  12 in total

Review 1.  Prediction of protein-ligand binding affinity by free energy simulations: assumptions, pitfalls and expectations.

Authors:  Julien Michel; Jonathan W Essex
Journal:  J Comput Aided Mol Des       Date:  2010-05-28       Impact factor: 3.686

2.  Rapid estimation of hydration thermodynamics of macromolecular regions.

Authors:  E Prabhu Raman; Alexander D MacKerell
Journal:  J Chem Phys       Date:  2013-08-07       Impact factor: 3.488

3.  In-silico identification of the binding mode of synthesized adamantyl derivatives inside cholinesterase enzymes.

Authors:  Amal Al-Aboudi; Raed A Al-Qawasmeh; Alaa Shahwan; Uzma Mahmood; Asaad Khalid; Zaheer Ul-Haq
Journal:  Acta Pharmacol Sin       Date:  2015-05-04       Impact factor: 6.150

4.  Insights from free-energy calculations: protein conformational equilibrium, driving forces, and ligand-binding modes.

Authors:  Yu-Ming M Huang; Wei Chen; Michael J Potter; Chia-En A Chang
Journal:  Biophys J       Date:  2012-07-17       Impact factor: 4.033

5.  Pharmacologic stimulation of cytochrome P450 46A1 and cerebral cholesterol turnover in mice.

Authors:  Natalia Mast; Yong Li; Marlin Linger; Matthew Clark; Jeffrey Wiseman; Irina A Pikuleva
Journal:  J Biol Chem       Date:  2013-12-18       Impact factor: 5.157

6.  Site-Specific Fragment Identification Guided by Single-Step Free Energy Perturbation Calculations.

Authors:  E Prabhu Raman; Kenno Vanommeslaeghe; Alexander D Mackerell
Journal:  J Chem Theory Comput       Date:  2012-03-26       Impact factor: 6.006

7.  The rational design of a novel potent analogue of the 5'-AMP-activated protein kinase inhibitor compound C with improved selectivity and cellular activity.

Authors:  Fouzia Machrouhi; Nouara Ouhamou; Keith Laderoute; Joy Calaoagan; Marina Bukhtiyarova; Paula J Ehrlich; Anthony E Klon
Journal:  Bioorg Med Chem Lett       Date:  2010-09-19       Impact factor: 2.823

8.  Extending fragment-based free energy calculations with library Monte Carlo simulation: annealing in interaction space.

Authors:  Steven Lettieri; Artem B Mamonov; Daniel M Zuckerman
Journal:  J Comput Chem       Date:  2010-11-29       Impact factor: 3.376

Review 9.  High-Throughput Screening by Nuclear Magnetic Resonance (HTS by NMR) for the Identification of PPIs Antagonists.

Authors:  Bainan Wu; Elisa Barile; Surya K De; Jun Wei; Angela Purves; Maurizio Pellecchia
Journal:  Curr Top Med Chem       Date:  2015       Impact factor: 3.295

Review 10.  Therapeutic strategies underpinning the development of novel techniques for the treatment of HIV infection.

Authors:  Jian J Tan; Xiao J Cong; Li M Hu; Cun X Wang; Lee Jia; Xing-Jie Liang
Journal:  Drug Discov Today       Date:  2010-01-22       Impact factor: 7.851

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.