Evidence map›Paper›PMID 27485603›Full record

ArticleBioorganic & medicinal chemistry2016

Computer-aided discovery of anti-HIV agents.

William L Jorgensen

Abstract read
In one paragraph

Article in Bioorganic & medicinal chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

  1. Article
  2. Review
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  10. Is Structure-Based Drug Design Ready for Selectivity Optimization?Journal of chemical information and modeling · 2020
    Article
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  12. Article
  13. Review
  14. Article
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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

1 author.

William L JorgensenDepartment of Chemistry, Yale University, New Haven, CT 06520-8107, United States. Electronic address: william.jorgensen@yale.edu.

Funding

POTENTIAL FUNCTIONS FOR WATER PROTEIN INTERACTIONSR01GM032136 · NIGMS · YALE UNIVERSITY · PI JORGENSEN, WILLIAM L. · 1985 to 2023
$8.2M
COMPUTER-AIDED DESIGN OF ANTIHIV DRUGSR01AI044616 · NIAID · YALE UNIVERSITY · PI JORGENSEN, WILLIAM L. · 1999 to 2022
$7.7M
NIAID NIH HHS R01 AI044616NIGMS NIH HHS R01 GM032136
6 · The paper itself

Abstract

A review is provided on efforts in our laboratory over the last decade to discover anti-HIV agents. The work has focused on computer-aided design and synthesis of non-nucleoside inhibitors of HIV-1 reverse transcriptase (NNRTIs) with collaborative efforts on biological assaying and protein crystallography. Numerous design issues were successfully addressed including the need for potency against a wide range of viral variants, good aqueous solubility, and avoidance of electrophilic substructures. Computational methods including docking, de novo design, and free-energy perturbation (FEP) calculations made essential contributions. The result is novel NNRTIs with picomolar and low-nanomolar activities against wild-type HIV-1 and key variants that also show much improved solubility and lower cytotoxicity than recently approved drugs in the class.

Indexed as

Computer-Aided DesignAnti-HIV AgentsDose-Response Relationship, DrugDrug DesignHIV-1HIV Reverse TranscriptaseHumansMicrobial Sensitivity TestsModels, MolecularMolecular StructureReverse Transcriptase InhibitorsStructure-Activity RelationshipT-LymphocytesAnti-HIV AgentsHIV Reverse Transcriptasereverse transcriptase, Human immunodeficiency virus 1Reverse Transcriptase InhibitorsAnti-HIV drugsFree energy perturbationNNRTIsStructure-based design

Identifiers

PMID27485603
PMCPMC5114837

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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.