Evidence map›Paper›PMID 20096804›Full record

ReviewDrug discovery today2010

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

Jian J Tan, Xiao J Cong, Li M Hu, Cun X Wang, Lee Jia, Xing-Jie Liang

Open access · greenAbstract readReview
In one paragraph

Review in Drug discovery today, 2010. 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 9% 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, 66 citations in OpenAlex.

  1. Mothra: MultiobjectiveJournal of chemical information and modeling · 2024
    Article
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  4. Discovery of a HiddenACS omega · 2023
    Article
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  17. Computational drug discovery.Acta pharmacologica Sinica · 2012
    Review
  18. Review
  19. Article
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

6 authors at 2 institutions in 1 country.

Jian J TanCollege of Life Science and Bio-engineering, Beijing University of Technology, Beijing 100124, China.
Xiao J Cong
Li M Hu
Cun X Wang
Lee Jia
Xing-Jie Liang
Beijing University of Technology · CNNational Center for Nanoscience and Technology · CN

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

The HIV replication cycle offers multiple targets for chemotherapeutic intervention, including the viral exterior envelope glycoprotein, gp120; viral co-receptors CXCR4 and CCR5; transmembrane glycoprotein, gp41; integrase; reverse transcriptase; protease and so on. Most currently used anti-HIV drugs are reverse transcriptase inhibitors or protease inhibitors. The expanding application of simulation to drug design combined with experimental techniques have developed a large amount of novel inhibitors that interact specifically with targets besides transcriptase and protease. This review presents details of the anti-HIV inhibitors discovered with computer-aided approaches and provides an overview of the recent five-year achievements in the treatment of HIV infection and the application of computational methods to current drug design.

Indexed as

AnimalsAnti-HIV AgentsDisease ManagementDrug DiscoveryHIV InfectionsHumansAnti-HIV Agents

Identifiers

PMID20096804
PMCPMC2910421
OpenAlexW2154088065

What OpenQuestion holds

Textmetadata
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.