ArticleMolecular therapy. Nucleic acids2023
Artificial intelligence enabled ChatGPT and large language models in drug target discovery, drug discovery, and development.
Article in Molecular therapy. Nucleic acids, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed.
- PockLigGPT: Pocket-Sequence-Conditioned Molecular Generation with GPTs and RL.Journal of chemical information and modeling · 2026Article
- A survey of transformer and LLM-based architectures, workflows, and systems in drug discovery.Journal of computer-aided molecular design · 2026Review
- From Computational Prediction toResearch square · 2026Article
- RelAgent: a multi-agent solution for molecular relationship grounding.Bioinformatics (Oxford, England) · 2026Article
- Advancing target discovery through disease-specific integration of multi-modal target identification models and comprehensive benchmarking system.Scientific reports · 2026Article
- DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery.bioRxiv : the preprint server for biology · 2026Article
- A comprehensive review of intelligent question-answering systems in traditional Chinese medicine based on LLMs.Journal of pharmaceutical analysis · 2026Review
- From Prompt to Drug: Toward Pharmaceutical Superintelligence.ACS central science · 2026Review
- Innovating global regulatory frameworks for generative AI in medical devices is an urgent priority.NPJ digital medicine · 2026Review
- Large language models for bioinformatics.Quantitative biology (Beijing, China) · 2026Review
- Quantum-machine-assisted drug discovery.npj drug discovery · 2026Review
- A case study of the application of AI to early stage drug discovery.Scientific reports · 2025Article
- AgentMol: Multi-Model AI System for Automatic Drug-Target Identification and Molecule Development.Methods and protocols · 2025Article
- AI-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development.Journal of advanced research · 2025Review
- Generative artificial intelligence, integrative bioinformatics, and single-cell analysis reveal Alzheimer's genetic and immune landscape.Molecular therapy. Nucleic acids · 2025Article
- Vascular senescence and aging: mechanisms, clinical implications, and therapeutic prospects.Biogerontology · 2025Review
- DruGagent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction.ArXiv · 2025Article
- Flash optimization of drug combinations for Acinetobacter baumannii with IDentif.AI-AMR.npj antimicrobials and resistance · 2025Article
- AI language model rivals expert ethicist in perceived moral expertise.Scientific reports · 2025Article
- Application of Artificial Intelligence In Drug-target Interactions Prediction: A Review.npj biomedical innovations · 2025Review
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
PubMed holds no abstract for this paper.
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.