Mining Patents with Large Language Models Elucidates the Chemical Function Landscape

15 September 2023

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 Akshay Subramanian Kevin P. Greenman Alexis Gervaix Tzuhsiung Yang Rafael Gómez-Bombarelli 31 6 0 14 Mar 2023
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 130 399 0 04 Oct 2022
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 40 107 0 12 Sep 2022
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 157 1,748 0 02 Mar 2017