Evidence map›Paper›PMID 27782307›Full record

ArticleJournal of computational chemistry2017

Estimation of relative free energies of binding using pre-computed ensembles based on the single-step free energy perturbation and the site-identification by Ligand competitive saturation approaches.

E Prabhu Raman, Sirish Kaushik Lakkaraju, Rajiah Aldrin Denny, Alexander D MacKerell

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Article in Journal of computational chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
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16citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

E Prabhu RamanDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 Penn Street HSF II, Baltimore, Maryland, 21201.
Sirish Kaushik LakkarajuDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 Penn Street HSF II, Baltimore, Maryland, 21201.
Rajiah Aldrin DennyMedicine Design, Worldwide Research & Development, Pfizer Inc, 610 Main Street, Cambridge, Massachusetts, 02139.
Alexander D MacKerellDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 Penn Street HSF II, Baltimore, Maryland, 21201.

Funding

Pre-computed free energy maps for rapid structure-based ligand designR44GM109635 · NIGMS · SILCSBIO, LLC · PI LAKKARAJU, SIRISH KAUSHIK, MACKERELL, ALEXANDER D · 2016 to 2018
$1.3M
Pre-computed free energy maps for rapid structure-based ligand designR43GM109635 · NIGMS · SILCSBIO, LLC · PI MACKERELL, ALEXANDER D, MALONE, KENNETH GEORGE · 2015 to 2016
$234k
NIGMS NIH HHS R43 GM109635NIGMS NIH HHS R44 GM109635
6 · The paper itself

Abstract

Accurate and rapid estimation of relative binding affinities of ligand-protein complexes is a requirement of computational methods for their effective use in rational ligand design. Of the approaches commonly used, free energy perturbation (FEP) methods are considered one of the most accurate, although they require significant computational resources. Accordingly, it is desirable to have alternative methods of similar accuracy but greater computational efficiency to facilitate ligand design. In the present study relative free energies of binding are estimated for one or two non-hydrogen atom changes in compounds targeting the proteins ACK1 and p38 MAP kinase using three methods. The methods include standard FEP, single-step free energy perturbation (SSFEP) and the site-identification by ligand competitive saturation (SILCS) ligand grid free energy (LGFE) approach. Results show the SSFEP and SILCS LGFE methods to be competitive with or better than the FEP results for the studied systems, with SILCS LGFE giving the best agreement with experimental results. This is supported by additional comparisons with published FEP data on p38 MAP kinase inhibitors. While both the SSFEP and SILCS LGFE approaches require a significant upfront computational investment, they offer a 1000-fold computational savings over FEP for calculating the relative affinities of ligand modifications once those pre-computations are complete. An illustrative example of the potential application of these methods in the context of screening large numbers of transformations is presented. Thus, the SSFEP and SILCS LGFE approaches represent viable alternatives for actively driving ligand design during drug discovery and development. © 2016 Wiley Periodicals, Inc.

Indexed as

DNA-Binding ProteinsDrug DesignDrug DiscoveryHumansLigandsMolecular Docking SimulationMolecular Dynamics Simulationp38 Mitogen-Activated Protein KinasesProtein BindingSmall Molecule LibrariesThermodynamicsCC2D1A protein, humanDNA-Binding ProteinsLigandsp38 Mitogen-Activated Protein KinasesSmall Molecule Librariesack1CGenFFCHARMM General Force Fieldcomputational chemistrycomputer-aided drug designmolecular dynamicsp38 map kinaseSILCSSSFEP

Identifiers

PMID27782307
PMCPMC5403604

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.