ArticleACS medicinal chemistry letters2020
The Advent of Generative Chemistry.
Article in ACS medicinal chemistry letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed.
- A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models.Nature biotechnology · 2025Trial
- Multi-objective optimization in the context of generative chemistry.Nature communications · 2026Review
- Modular Framework for 3D Molecular Generation in Computational Chemistry Applications.Journal of the American Chemical Society · 2026Article
- Molecular LEGION: incalculably large coverage of chemical space around the NLRP3 target.Scientific data · 2026Article
- Article
- A New Era of Artificial Intelligence (AI): Transforming Drug Discovery and Development.Journal of medicinal chemistry · 2025Article
- Applications of Artificial Intelligence in Biotech Drug Discovery and Product Development.MedComm · 2025Review
- Cross-disciplinary perspectives on the potential for artificial intelligence across chemistry.Chemical Society reviews · 2025Review
- The Structure-Mechanics Relationship of Bamboo-Epidermis and Inspired Composite Design by Artificial Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- AI-DrivenJournal of medicinal chemistry · 2025Article
- Utilizing AI for the Identification and Validation of Novel Therapeutic Targets and Repurposed Drugs for Endometriosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Artificial intelligence in drug development.Nature medicine · 2025Review
- Generation of Rational Drug-like Molecular Structures Through a Multiple-Objective Reinforcement Learning Framework.Molecules (Basel, Switzerland) · 2024Article
- A systematic review of deep learning chemical language models in recent era.Journal of cheminformatics · 2024Review
- Multimodal Transformers and Their Applications in Drug Target Discovery for Aging and Age-Related Diseases.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Review
- Empowering precision medicine: regenerative AI in breast cancer.Frontiers in oncology · 2024Article
- The Hitchhiker's Guide to Deep Learning Driven Generative Chemistry.ACS medicinal chemistry letters · 2023Review
- Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry.Journal of chemical information and modeling · 2023Article
- Review
- Accelerated Discovery of Macrocyclic CDK2 Inhibitor QR-6401 by Generative Models and Structure-Based Drug Design.ACS medicinal chemistry letters · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Generative adversarial networks (GANs), first published in 2014, are among the most important concepts in modern artificial intelligence (AI). Bridging deep learning and game theory, GANs are used to generate or "imagine" new objects with desired properties. Since 2016, multiple GANs with reinforcement learning (RL) have been successfully applied in pharmacology for
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.