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Mining Patents with Large Language Models Elucidates the Chemical Function Landscape

Mining Patents with Large Language Models Elucidates the Chemical Function Landscape

Clayton W. Kosonocky
Claus O. Wilke
E. Marcotte
A. D. Ellington
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Papers citing "Mining Patents with Large Language Models Elucidates the Chemical Function Landscape"

4 / 4 papers shown
Title
Automated patent extraction powers generative modeling in focused chemical spaces
Automated patent extraction powers generative modeling in focused chemical spaces
Akshay Subramanian
Kevin P. Greenman
Alexis Gervaix
Tzuhsiung Yang
Rafael Gómez-Bombarelli
41
6
0
14 Mar 2023
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso
Hannes Stärk
Bowen Jing
Regina Barzilay
Tommi Jaakkola
DiffM
142
412
0
04 Oct 2022
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Bing-Huang Su
Dazhao Du
Zhao-Qing Yang
Yujie Zhou
Jiangmeng Li
Anyi Rao
Haoran Sun
Zhiwu Lu
Ji-Rong Wen
46
107
0
12 Sep 2022
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
216
1,780
0
02 Mar 2017