Evidence map›Paper›PMID 40430533›Full record

ArticlePharmaceuticals (Basel, Switzerland)2025

Machine Learning-Driven Consensus Modeling for Activity Ranking and Chemical Landscape Analysis of HIV-1 Inhibitors.

Danishuddin, Md Azizul Haque, Geet Madhukar, Qazi Mohammad Sajid Jamal, Jong-Joo Kim, Khurshid Ahmad

Abstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. 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.

DanishuddinDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.
Md Azizul HaqueDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0002-5158-4558
Geet MadhukarDepartment of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA.ORCID 0000-0003-1082-6749
Qazi Mohammad Sajid JamalDepartment of Health Informatics, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.ORCID 0000-0001-5525-708X
Jong-Joo KimDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.
Khurshid AhmadDepartment of Health Informatics, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.ORCID 0000-0002-1095-8445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

activity landscapeconsensus modelingHIV integrasemachine learningscaffolds

Identifiers

PMID40430533
PMCPMC12115078

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.