A deep-learning view of chemical space designed to facilitate drug discovery

7 February 2020

Papers citing "A deep-learning view of chemical space designed to facilitate drug discovery"

9 / 9 papers shown

Title
Learning Natural Language Constraints for Safe Reinforcement Learning of Language Agents Jaymari Chua Chen Wang Lina Yao ALM 45 0 0 04 Apr 2025
Text-Guided Multi-Property Molecular Optimization with a Diffusion Language Model Yida Xiong Kun Li Weiwei Liu Jia Wu Bo Du Shirui Pan Wenbin Hu 20 1 0 17 Oct 2024
Retrieval-based Controllable Molecule Generation Zichao Wang Weili Nie Zhuoran Qiao Chaowei Xiao Richard Baraniuk Anima Anandkumar 16 36 0 23 Aug 2022
Improving Small Molecule Generation using Mutual Information Machine Daniel A. Reidenbach M. Livne Rajesh Ilango M. Gill Johnny Israeli 19 14 0 18 Aug 2022
DOCKSTRING: easy molecular docking yields better benchmarks for ligand design Miguel García-Ortegón G. Simm Austin Tripp José Miguel Hernández-Lobato A. Bender S. Bacallado 32 75 0 29 Oct 2021
Artificial Intelligence based Autonomous Molecular Design for Medical Therapeutic: A Perspective R. P. Joshi Neeraj Kumar 14 2 0 10 Feb 2021
Optimizing Molecules using Efficient Queries from Property Evaluations Samuel C. Hoffman Vijil Chenthamarakshan Kahini Wadhawan Pin-Yu Chen Payel Das 24 68 0 03 Nov 2020
Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics Yair Schiff Vijil Chenthamarakshan K. Ramamurthy Payel Das BDL 6 6 0 18 Oct 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,332 0 12 Feb 2018