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NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical
  Language Models

NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical Language Models

19 November 2024
Koh Sakano
Kairi Furui
Masahito Ohue
ArXiv (abs)PDFHTML

Papers citing "NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical Language Models"

6 / 6 papers shown
Title
Searching for High-Value Molecules Using Reinforcement Learning and
  Transformers
Searching for High-Value Molecules Using Reinforcement Learning and Transformers
Raj Ghugare
Santiago Miret
Adriana Hugessen
Mariano Phielipp
Glen Berseth
80
17
0
04 Oct 2023
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular
  Property Prediction
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
Seyone Chithrananda
Gabriel Grand
Bharath Ramsundar
AI4CE
98
414
0
19 Oct 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin
Regina Barzilay
Tommi Jaakkola
90
289
0
08 Feb 2020
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
...
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
ELM
294
653
0
29 Nov 2018
Fréchet ChemNet Distance: A metric for generative models for molecules
  in drug discovery
Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery
Kristina Preuer
Philipp Renz
Thomas Unterthiner
Sepp Hochreiter
Günter Klambauer
MedIm
98
340
0
26 Mar 2018
SMILES Enumeration as Data Augmentation for Neural Network Modeling of
  Molecules
SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules
E. Bjerrum
72
295
0
21 Mar 2017
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