An Integrated Computational Approach to Identify Potent HIV-1 Protease Inhibitors from Marine Sources

These findings suggest that the identified marine-derived compounds hold significant promise as effective protease inhibitors, offering new opportunities for immunotherapy and advancements in drug development.

Authors

Institutions

Publication Details

Journal
Combinatorial Chemistry & High Throughput Screening
Published
2025-05-20
DOI
https://doi.org/10.2174/0113862073344783241205075752
Citations
1
Primary Topic
HIV/AIDS drug development and treatment
Type
article
Field-Weighted Citation Impact
1.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Integrated Computational Approach to Identify Potent HIV-1 Protease Inhibitors from Marine Sources

Bader Y. Alhatlani, Mebarka Ouassaf, Harun Patel, Iqrar Ahmad et al.
1 citations
Combinatorial Chemistry & High Throughput Screening
HIV/AIDS drug development and treatment
1.40
article

An Integrated Computational Approach to Identify Potent HIV-1 Protease Inhibitors from Marine Sources

Bader Y. Alhatlani, Mebarka Ouassaf, Harun Patel, Iqrar Ahmad, Lotfi Bourougaa
article en
1 citations

Abstract

These findings suggest that the identified marine-derived compounds hold significant promise as effective protease inhibitors, offering new opportunities for immunotherapy and advancements in drug development.

Combinatorial Chemistry & High Throughput ScreeningVol. 28(15)
Qassim University (SA), University of Biskra (DZ), Buraydah Colleges (SA), Shri Vile Parle Kelavani Mandal (IN)
Life below water
Openalex Percentile: Top 20%
HIV/AIDS drug development and treatment
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.