Evidence map›Paper›PMID 19928916›Full record

ArticleJournal of chemical information and modeling2009

Prediction of potency of protease inhibitors using free energy simulations with polarizable quantum mechanics-based ligand charges and a hybrid water model.

Debananda Das, Yasuhiro Koh, Yasushi Tojo, Arun K Ghosh, Hiroaki Mitsuya

Open access · greenAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 78 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Debananda DasExperimental Retrovirology Section, HIV and AIDS Malignancy Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892-1868, USA.
Yasuhiro Koh
Yasushi Tojo
Arun K Ghosh
Hiroaki Mitsuya
National Cancer Institute · USKumamoto University · JP

Funding

Development of Antiviral Therapy of HIV-1 InfectionZIASC006738 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI MITSUYA, HIROAKI · 2009 to 2025
$10.0M
Design & Synthesis of Nonpeptide Protease InhibitorsR37GM053386 · NIGMS · PURDUE UNIVERSITY · PI GHOSH, ARUN K · 2011 to 2018
$3.9M
DESIGN AND SYNTHESIS OF NONPEPTIDE PROTEASE INHIBITORSR01GM053386 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GHOSH, ARUN K · 1995 to 2010
$3.7M
HIV TRIALSZ01SC006738 · SC · DIVISION OF CLINICAL SCIENCES - NCI · PI MITSUYA, HIROAKI · 1996 to 2008
$1.4M
Intramural NIH HHS Z01 SC006738NIGMS NIH HHS GM 53386NIGMS NIH HHS R01 GM053386NIGMS NIH HHS R37 GM053386
6 · The paper itself

Abstract

Reliable and robust prediction of the binding affinity for drug molecules continues to be a daunting challenge. We simulated the binding interactions and free energy of binding of nine protease inhibitors (PIs) with wild-type and various mutant proteases by performing GBSA simulations in which each PI's partial charge was determined by quantum mechanics (QM) and the partial charge accounts for the polarization induced by the protease environment. We employed a hybrid solvation model that retains selected explicit water molecules in the protein with surface-generalized Born (SGB) implicit solvent. We examined the correlation of the free energy with the antiviral potency of PIs with regard to amino acid substitutions in protease. The GBSA free energy thus simulated showed strong correlations (r > 0.75) with antiviral IC(50) values of PIs when amino acid substitutions were present in the protease active site. We also simulated the binding free energy of PIs with P2-bis-tetrahydrofuranylurethane (bis-THF) or related cores, utilizing a bis-THF-containing protease crystal structure as a template. The free energy showed a strong correlation (r = 0.93) with experimentally determined anti-HIV-1 potency. The present data suggest that the presence of selected explicit water in protein and protein polarization-induced quantum charges for the inhibitor, compared to lack of explicit water and a static force-field-based charge model, can serve as an improved lead optimization tool and warrants further exploration.

Indexed as

Models, MolecularQuantum TheoryAmino Acid SubstitutionCatalytic DomainCrystallography, X-RayDrug DesignDrug Resistance, Multiple, ViralHIV-1HIV ProteaseHIV Protease InhibitorsLigandsMutationProtein MultimerizationProtein Structure, QuaternaryThermodynamicsWaterHIV ProteaseHIV Protease InhibitorsLigandsWater

Identifiers

PMID19928916
PMCPMC2860540
OpenAlexW2078587289

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

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.