Evidence map›Paper›PMID 36534283›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Computational Modeling of IN-CTD/TAR Complex to Elucidate Additional Strategies to Inhibit HIV-1 Replication.

Liming Qiu, Savita Bhutoria, Ganjam V Kalpana, Xiaoqin Zou

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 2 institutions in 1 country.

Liming QiuDepartment of Physics and Astronomy, Department of Biochemistry, Dalton Cardiovascular Research Center, and Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.
Savita BhutoriaDepartment of Physics and Astronomy, Department of Biochemistry, Dalton Cardiovascular Research Center, and Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.
Ganjam V KalpanaDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA. ganjam.kalpana@einsteinmed.edu.
Xiaoqin ZouDepartment of Physics and Astronomy, Department of Biochemistry, Dalton Cardiovascular Research Center, and Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA. ZouX@missouri.edu.
University of Missouri · USAlbert Einstein College of Medicine · US

Funding

RNA-mimicry to guide the intra-cellular targeting of host virus protein and viral RNA-protein interactions to inhibit HIV replication.R01AI170206 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI GANJAM V KALPANA · 2022 to 2026
$3.2M
Structure prediction and in silico screening of protein-peptide interactionsR35GM136409 · NIGMS · UNIVERSITY OF MISSOURI-COLUMBIA · PI XIAOQIN ZOU · 2020 to 2026
$2.9M
Integrase Binding Proteins as Drug Targets to Inhibit HIV-1 AssemblyR01GM112520 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KALPANA, GANJAM V · 2014 to 2017
$1.6M
NIAID NIH HHS R01 AI170206NIGMS NIH HHS R01 GM112520NIGMS NIH HHS R35 GM136409
6 · The paper itself

Abstract

HIV-1 integrase (IN) is a key enzyme that is essential for mediating the insertion of retroviral DNA into the host chromosome. IN also exhibits additional functions which are not fully elucidated, including its ability to bind to viral genomic RNA. Lack of binding of IN to RNA within the virions has been shown to be associated with production of morphologically defective virus particles. However, the exact structure of HIV-1 IN bound to RNA is not known. Based on the studies that C-terminal domain (CTD) of IN binds to TAR RNA region and based on the observation that TAR and the host factor INI1 binding to IN-CTD are identical, we computationally modelled the IN-CTD/TAR complex structure. Computational modeling of nucleic acid binding to proteins is a valuable method to understand the macromolecular interaction when experimental methods of solving the complex structures are not feasible. The current model of the IN-CTD/TAR complex may facilitate further understanding of this interaction and may lead to therapeutic targeting of IN-CTD/RNA interactions to inhibit HIV-1 replication.

Indexed as

HIV-1Computer SimulationRNA, ViralVirus ReplicationRNA, ViralComputational modelingHIV-1INI1/SMARCB1Protein-RNA dockingRNA-protein interactionsTAR RNA

Identifiers

PMID36534283
PMCPMC10067014
OpenAlexW4312066933

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.