135 related articles for article (PubMed ID: 38867692)
1. HELM-GPT: de novo macrocyclic peptide design using generative pre-trained transformer.
Xu X; Xu C; He W; Wei L; Li H; Zhou J; Zhang R; Wang Y; Xiong Y; Gao X
Bioinformatics; 2024 Jun; 40(6):. PubMed ID: 38867692
[TBL] [Abstract][Full Text] [Related]
2. Generative Pre-trained Transformer (GPT) based model with relative attention for de novo drug design.
Haroon S; C A H; A S J
Comput Biol Chem; 2023 Oct; 106():107911. PubMed ID: 37450999
[TBL] [Abstract][Full Text] [Related]
3. MTMol-GPT: De novo multi-target molecular generation with transformer-based generative adversarial imitation learning.
Ai C; Yang H; Liu X; Dong R; Ding Y; Guo F
PLoS Comput Biol; 2024 Jun; 20(6):e1012229. PubMed ID: 38924082
[TBL] [Abstract][Full Text] [Related]
4. FSM-DDTR: End-to-end feedback strategy for multi-objective De Novo drug design using transformers.
Monteiro NRC; Pereira TO; Machado ACD; Oliveira JL; Abbasi M; Arrais JP
Comput Biol Med; 2023 Sep; 164():107285. PubMed ID: 37557054
[TBL] [Abstract][Full Text] [Related]
5. cMolGPT: A Conditional Generative Pre-Trained Transformer for Target-Specific De Novo Molecular Generation.
Wang Y; Zhao H; Sciabola S; Wang W
Molecules; 2023 May; 28(11):. PubMed ID: 37298906
[TBL] [Abstract][Full Text] [Related]
6. RM-GPT: Enhance the comprehensive generative ability of molecular GPT model via LocalRNN and RealFormer.
Fan W; He Y; Zhu F
Artif Intell Med; 2024 Apr; 150():102827. PubMed ID: 38553166
[TBL] [Abstract][Full Text] [Related]
7. Optimization of binding affinities in chemical space with generative pre-trained transformer and deep reinforcement learning.
Xu X; Zhou J; Zhu C; Zhan Q; Li Z; Zhang R; Wang Y; Liao X; Gao X
F1000Res; 2023; 12():757. PubMed ID: 38434657
[TBL] [Abstract][Full Text] [Related]
8. CycPeptMPDB: A Comprehensive Database of Membrane Permeability of Cyclic Peptides.
Li J; Yanagisawa K; Sugita M; Fujie T; Ohue M; Akiyama Y
J Chem Inf Model; 2023 Apr; 63(7):2240-2250. PubMed ID: 36930969
[TBL] [Abstract][Full Text] [Related]
9. AB-Gen: Antibody Library Design with Generative Pre-trained Transformer and Deep Reinforcement Learning.
Xu X; Xu T; Zhou J; Liao X; Zhang R; Wang Y; Zhang L; Gao X
Genomics Proteomics Bioinformatics; 2023 Oct; 21(5):1043-1053. PubMed ID: 37364719
[TBL] [Abstract][Full Text] [Related]
10. De novo drug design as GPT language modeling: large chemistry models with supervised and reinforcement learning.
Ye G
J Comput Aided Mol Des; 2024 Apr; 38(1):20. PubMed ID: 38647700
[TBL] [Abstract][Full Text] [Related]
11. HELM Software for Biopolymers.
Milton J; Zhang T; Bellamy C; Swayze E; Hart C; Weisser M; Hecht S; Rotstein S
J Chem Inf Model; 2017 Jun; 57(6):1233-1239. PubMed ID: 28471655
[TBL] [Abstract][Full Text] [Related]
12. A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records.
Chiang CC; Luo M; Dumkrieger G; Trivedi S; Chen YC; Chao CJ; Schwedt TJ; Sarker A; Banerjee I
Headache; 2024 Apr; 64(4):400-409. PubMed ID: 38525734
[TBL] [Abstract][Full Text] [Related]
13. MolGPT: Molecular Generation Using a Transformer-Decoder Model.
Bagal V; Aggarwal R; Vinod PK; Priyakumar UD
J Chem Inf Model; 2022 May; 62(9):2064-2076. PubMed ID: 34694798
[TBL] [Abstract][Full Text] [Related]
14. PepSeA: Peptide Sequence Alignment and Visualization Tools to Enable Lead Optimization.
Baylon JL; Ursu O; Muzdalo A; Wassermann AM; Adams GL; Spale M; Mejzlik P; Gromek A; Pisarenko V; Hancharyk D; Jenkins E; Bednar D; Chang C; Clarova K; Glick M; Bitton DA
J Chem Inf Model; 2022 Mar; 62(5):1259-1267. PubMed ID: 35192366
[TBL] [Abstract][Full Text] [Related]
15. Adapt-cMolGPT: A Conditional Generative Pre-Trained Transformer with Adapter-Based Fine-Tuning for Target-Specific Molecular Generation.
Yoo S; Kim J
Int J Mol Sci; 2024 Jun; 25(12):. PubMed ID: 38928346
[TBL] [Abstract][Full Text] [Related]
16. Evaluating the Usefulness of a Large Language Model as a Wholesome Tool for De Novo Polymerase Chain Reaction (PCR) Primer Design.
Jorapur S; Srivastava A; Kulkarni S
Cureus; 2023 Oct; 15(10):e47711. PubMed ID: 38021866
[TBL] [Abstract][Full Text] [Related]
17. Llamol: a dynamic multi-conditional generative transformer for de novo molecular design.
Dobberstein N; Maass A; Hamaekers J
J Cheminform; 2024 Jun; 16(1):73. PubMed ID: 38907298
[TBL] [Abstract][Full Text] [Related]
18. The RaPID Platform for the Discovery of Pseudo-Natural Macrocyclic Peptides.
Goto Y; Suga H
Acc Chem Res; 2021 Sep; 54(18):3604-3617. PubMed ID: 34505781
[TBL] [Abstract][Full Text] [Related]
19. Molecular generation strategy and optimization based on A2C reinforcement learning in de novo drug design.
Wang Q; Wei Z; Hu X; Wang Z; Dong Y; Liu H
Bioinformatics; 2023 Nov; 39(11):. PubMed ID: 37971970
[TBL] [Abstract][Full Text] [Related]
20. TransGEM: a molecule generation model based on Transformer with gene expression data.
Liu Y; Yu H; Duan X; Zhang X; Cheng T; Jiang F; Tang H; Ruan Y; Zhang M; Zhang H; Zhang Q
Bioinformatics; 2024 May; 40(5):. PubMed ID: 38632084
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]