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DOCKSTRING: easy molecular docking yields better benchmarks for ligand
  design

DOCKSTRING: easy molecular docking yields better benchmarks for ligand design

29 October 2021
Miguel García-Ortegón
G. Simm
Austin Tripp
José Miguel Hernández-Lobato
A. Bender
S. Bacallado
ArXivPDFHTML

Papers citing "DOCKSTRING: easy molecular docking yields better benchmarks for ligand design"

10 / 10 papers shown
Title
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
Mohit Pandey
G. Subbaraj
Artem Cherkasov
Martin Ester
Emmanuel Bengio
AI4CE
57
1
0
08 Mar 2025
Batched Bayesian optimization by maximizing the probability of including the optimum
Batched Bayesian optimization by maximizing the probability of including the optimum
Jenna C. Fromer
Runzhong Wang
Mrunali Manjrekar
Austin Tripp
José Miguel Hernández-Lobato
Connor W. Coley
39
0
0
08 Oct 2024
Pareto Optimization to Accelerate Multi-Objective Virtual Screening
Pareto Optimization to Accelerate Multi-Objective Virtual Screening
Jenna C. Fromer
David E. Graff
Connor W. Coley
20
7
0
16 Oct 2023
Computational modeling of semantic change
Computational modeling of semantic change
Nina Tahmasebi
Haim Dubossarsky
26
6
0
13 Apr 2023
Self-focusing virtual screening with active design space pruning
Self-focusing virtual screening with active design space pruning
David E. Graff
Matteo Aldeghi
Joseph A. Morrone
K. E. Jordan
Edward O. Pyzer-Knapp
Connor W. Coley
19
24
0
03 May 2022
Accelerating high-throughput virtual screening through molecular
  pool-based active learning
Accelerating high-throughput virtual screening through molecular pool-based active learning
David E. Graff
E. Shakhnovich
Connor W. Coley
70
139
0
13 Dec 2020
A deep-learning view of chemical space designed to facilitate drug
  discovery
A deep-learning view of chemical space designed to facilitate drug discovery
P. Maragakis
Hunter M. Nisonoff
B. Cole
D. Shaw
19
28
0
07 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
167
628
0
29 Nov 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
181
878
0
07 Jun 2018
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
152
1,748
0
02 Mar 2017
1