Evidence map›Paper›PMID 39415575›Full record

ReviewCurrent medicinal chemistry2025

Molecular Docking in Drug Discovery: Techniques, Applications, and Advancements.

Cinthia Aguiar, Ihosvany Camps

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Phytochemical Profiling andFoods (Basel, Switzerland) · 2026
    Article
  2. Review
  3. Light-Promoted C-H/C-H Coupling of Imidazo[1,2-Molecules (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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  14. Role of cell cycle-related geneWorld journal of clinical oncology · 2025
    Article
  15. Article
  16. Article
  17. Phytochemical Profiling and Bioactivity Assessment ofPharmaceuticals (Basel, Switzerland) · 2024
    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

2 authors.

Cinthia AguiarLaboratório de Modelagem Computacional - LaModel, Instituto de Ciências Exatas - ICEx. Universidade Federal de Alfenas - UNIFAL-MG, Alfenas, Minas Gerais, Brazil.ORCID 0000-0003-2849-7664
Ihosvany CampsLaboratório de Modelagem Computacional - LaModel, Instituto de Ciências Exatas - ICEx. Universidade Federal de Alfenas - UNIFAL-MG, Alfenas, Minas Gerais, Brazil.ORCID 0000-0001-5898-1313

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary objective of this study is to conduct a comprehensive review of the significance of molecular docking in the field of drug discovery. This includes an examination of the various approaches and methods used in molecular docking, as well as an exploration of the techniques used for interpreting and validating docking results. To gather relevant data, a systematic search was conducted using Web of Science, PubMed, and Google Scholar. The search focused on articles related to molecular docking methodologies and their applications in drug discovery. Additionally, alternative techniques that can be used for more precise simulations of ligand-protein interactions were also considered. Molecular docking has proven to be an incredibly rich and valuable process in the field of drug discovery. Its flexibility allows for the incorporation of advanced computational techniques, thereby enhancing the reliability and efficiency of drug discovery processes. The results of the study highlights the significant strides made in the field of molecular docking, demonstrating its potential to revolutionize drug discovery. Molecular docking continues to evolve, with new advancements being made regularly. Despite the challenges faced, these advancements have significantly contributed to the enhancement of molecular docking, solidifying its position as a crucial tool in the field of drug discovery.

Indexed as

Drug DiscoveryMolecular Docking SimulationProteinsHumansLigandsLigandsProteinsHTS.ligand-proteinmachine learningMolecular dockingscoring functionsvalidation

Identifiers

What OpenQuestion holds

Textmetadata
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.