DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback | Paper Citation Record

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This paper cites AI-enabled organoids: construction, analysi s, and application,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback AI-enabled organoids: construction, analysi s, and application,

Reference 1

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This paper cites Deﬁning and Exploring Chemical Space s,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Deﬁning and Exploring Chemical Space s,

Reference 2

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This paper cites Why 90% of clinical drug development fails and how to improve it?,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Why 90% of clinical drug development fails and how to improve it?,

Reference 3

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This paper cites Generative Models for de Novo Drug Design,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Generative Models for de Novo Drug Design,

Reference 4

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This paper cites Deep generative molecular design res hapes drug discovery,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Deep generative molecular design res hapes drug discovery,

Reference 5

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback D e novo molecular design and generative models,

Reference 6

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This paper cites De novo generation of hit-like molecul es from gene expression signatures using artiﬁcial intelligence,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback De novo generation of hit-like molecul es from gene expression signatures using artiﬁcial intelligence,

Reference 7

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This paper cites A Generative and Causal Pharmacokine tic Model for Factor VIII in Hemophilia A: A Machine Learning Framework for Conti nuous Model Reﬁne- ment,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback A Generative and Causal Pharmacokine tic Model for Factor VIII in Hemophilia A: A Machine Learning Framework for Conti nuous Model Reﬁne- ment,

Reference 8

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This paper cites Application of machine learning techniques to the analysis and prediction of drug pharmacokinetics,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Application of machine learning techniques to the analysis and prediction of drug pharmacokinetics,

Reference 9

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Using Generative Mod eling to Endow with Po- tency Initially Inert Compounds with Good Bioavailability and Low Toxicity,

Reference 10

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This paper cites Revolutionizin g pharmacokinetics: the dawn of AI-powered analysis,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Revolutionizin g pharmacokinetics: the dawn of AI-powered analysis,

Reference 11

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This paper cites Using Domain-Speciﬁ c Fingerprints Generated through Neural Networks to Enhance Ligand-Based Virtual Sc reening,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Using Domain-Speciﬁ c Fingerprints Generated through Neural Networks to Enhance Ligand-Based Virtual Sc reening,

Reference 12

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This paper cites AI in drug discovery and its c linical relevance,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback AI in drug discovery and its c linical relevance,

Reference 13

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This paper cites Deep learning for dr ug discovery: A study of identi- fying high eﬃcacy drug compounds using a cascade transfer le arning approach,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Deep learning for dr ug discovery: A study of identi- fying high eﬃcacy drug compounds using a cascade transfer le arning approach,

Reference 14

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This paper cites Unleashing the power of generative AI in drug discovery,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Unleashing the power of generative AI in drug discovery,

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This paper cites PLAPT: Protein-Ligand Binding Aﬃnity Prediction Using Pretraine d Transformers,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback PLAPT: Protein-Ligand Binding Aﬃnity Prediction Using Pretraine d Transformers,

Reference 16

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This paper cites ProGen: Language Modeling for Protein Generation.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback ProGen: Language Modeling for Protein Generation

Reference 17

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This paper cites Language models are few -shot learners,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Language models are few -shot learners,

Reference 18

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This paper cites DrugGPT: A GPT-based Strategy for Desi gning Potential Ligands Targeting Speciﬁc Proteins,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback DrugGPT: A GPT-based Strategy for Desi gning Potential Ligands Targeting Speciﬁc Proteins,

Reference 19

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback SMILES, a Chemical Language and Inf ormation System: 1: Intro- duction to Methodology and Encoding Rules,

Reference 20

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Auto regressive models for gene reg- ulatory network inference: Sparsity, stability and causal ity issues,

Reference 21

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This paper cites Reﬁning dataset curation methods for deep learning-based automated tuberculosis screening,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Reﬁning dataset curation methods for deep learning-based automated tuberculosis screening,

Reference 22

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This paper cites A Deep Learning App roach to Antibiotic Dis- covery,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback A Deep Learning App roach to Antibiotic Dis- covery,

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback DrugTar Improves Druggability Pred iction by Integrating Large Language Models and Gene Ontologies,

Reference 24

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This paper cites Properties of FDA-approved small m olecule protein kinase in- hibitors: A 2024 update,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Properties of FDA-approved small m olecule protein kinase in- hibitors: A 2024 update,

Reference 25

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This paper cites Physicochemical Properties a nd Pharmacokinetics,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Physicochemical Properties a nd Pharmacokinetics,

Reference 26

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This paper cites Chapter 1 - Introduction,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Chapter 1 - Introduction,

Reference 27

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback DrugMetric: quantitative drug-likeness scoring based on chemical space distance,

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This paper cites Drug Repurposing: An Eﬀective Tool in Modern D rug Discovery,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Drug Repurposing: An Eﬀective Tool in Modern D rug Discovery,

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Angiotensin-converting enzyme open for business: s tructural insights into the subdomain dynamics,

Reference 30

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This paper cites DrugBank: a comprehensive resource for in silico drug disc overy and exploration.,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback DrugBank: a comprehensive resource for in silico drug disc overy and exploration.,

Reference 31

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This paper cites UniProt: the Universal Prote in Knowledgebase in 2023. Nucleic Acids Res. 51:D523–D531 (2023),.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback UniProt: the Universal Prote in Knowledgebase in 2023. Nucleic Acids Res. 51:D523–D531 (2023),

Reference 32

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This paper cites Basic local alignment search tool,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Basic local alignment search tool,

Reference 33

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This paper cites The ChE MBL Database in 2023: A drug discovery platform spanning multiple bioact ivity data types and time periods,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback The ChE MBL Database in 2023: A drug discovery platform spanning multiple bioact ivity data types and time periods,

Reference 34

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This paper cites ZINC20 - A Free Ultralarge-Scale C hemical Database for Ligand Discovery,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback ZINC20 - A Free Ultralarge-Scale C hemical Database for Ligand Discovery,

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback A vailable at: https://huggingface.co/docs/trl/en/index

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback A vailable at:https://github.com/openai/summarize-from-feedback

Reference 37

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback A vailable at: https://www.rdkit.org/

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback DisGeNET: A comprehensive pl atform integrating infor- mation on human disease-associated genes and variants,

Reference 39

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Wh y is Tanimoto index an appropriate choice for ﬁngerprint-based similarity calcu lations?,

Reference 40

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This paper cites The Generation of a Unique Machine Descr iption for Chemical Struc- tures—A Technique Developed at Chemical Abstracts Service ,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback The Generation of a Unique Machine Descr iption for Chemical Struc- tures—A Technique Developed at Chemical Abstracts Service ,

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Protein-Ligand Blind Docking Using QuickVina-W with Inter-Process Spatio-Temporal Integration,

Reference 42

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This paper cites Protein and ligand preparation: Parameters, protocols, and inﬂuence on virtual screening enrichments,.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Protein and ligand preparation: Parameters, protocols, and inﬂuence on virtual screening enrichments,

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Unresolved cited work

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback OPLS4: Improving force ﬁeld accuracy on challenging regimes of chemical space,

Reference 45

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This paper cites and Banks, Jay L.

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback and Banks, Jay L

Reference 46

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Unresolved cited work

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Unresolved cited work

Reference 2015

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DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback Unresolved cited work

Reference 2020

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