ArticleBiomolecules2019
Machine Learning for Molecular Modelling in Drug Design.
Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed.
- Unlocking the potential of computational phenotypic drug discovery: methods, challenges, and future directions.NPJ systems biology and applications · 2026Review
- Explainable AI-driven prediction of APE1 inhibitors: enhancing cancer therapy with machine learning models and feature importance analysis.Molecular diversity · 2025Article
- Adenocarpine, Marmesin, and Lycocernuine from Ficus benjamina as Promising Inhibitors of Aldose Reductase in Diabetes: A Bioinformatics-Guided Approach.Applied biochemistry and biotechnology · 2025Article
- Database of Nonaqueous Proton-Conducting Materials.ACS applied materials & interfaces · 2025Article
- Efficient and Explainable Virtual Screening of Molecules through Fingerprint-Generating Networks Integrated with Artificial Neural Networks.ACS omega · 2025Article
- Development of a novel representation of drug 3D structures and enhancement of the TSR-based method for probing drug and target interactions.Computational biology and chemistry · 2024Article
- The Histone Deacetylase Family: Structural Features and Application of Combined Computational Methods.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Identification of bioactive compounds ofHeliyon · 2024Article
- Application of Artificial Intelligence in the Diagnosis, Treatment, and Prognostic Evaluation of Mediastinal Malignant Tumors.Journal of clinical medicine · 2023Review
- On the Best Way to Cluster NCI-60 Molecules.Biomolecules · 2023Article
- Mpropred: A machine learning (ML) driven Web-App for bioactivity prediction of SARS-CoV-2 main protease (Mpro) antagonists.PloS one · 2023Article
- Deep Learning Promotes the Screening of Natural Products with Potential Microtubule Inhibition Activity.ACS omega · 2022Article
- Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods.Drug discovery today · 2022Review
- Application of Artificial Intelligence in Discovery and Development of Anticancer and Antidiabetic Therapeutic Agents.Evidence-based complementary and alternative medicine : eCAM · 2022Review
- From Data to Knowledge: Systematic Review of Tools for Automatic Analysis of Molecular Dynamics Output.Frontiers in pharmacology · 2022Review
- Commercial SARS-CoV-2 Targeted, Protease Inhibitor Focused and Protein-Protein Interaction Inhibitor Focused Molecular Libraries for Virtual Screening and Drug Design.International journal of molecular sciences · 2021Review
- Use of Artificial Intelligence and Machine Learning for Discovery of Drugs for Neglected Tropical Diseases.Frontiers in chemistry · 2021Review
- A Review on Applications of Computational Methods in Drug Screening and Design.Molecules (Basel, Switzerland) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Machine learning (ML) has become a crucial component of early drug discovery. This researcharea has been fueled by two main factors [...].
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.