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A Model to Search for Synthesizable Molecules

A Model to Search for Synthesizable Molecules

12 June 2019
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
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Papers citing "A Model to Search for Synthesizable Molecules"

25 / 25 papers shown
Title
Challenging reaction prediction models to generalize to novel chemistry
Challenging reaction prediction models to generalize to novel chemistry
John Bradshaw
Anji Zhang
Babak Mahjour
David E. Graff
Marwin H. S. Segler
Connor W. Coley
47
1
0
11 Jan 2025
Conditional Latent Space Molecular Scaffold Optimization for Accelerated
  Molecular Design
Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design
O. Boyar
Hiroyuki Hanada
I. Takeuchi
BDL
42
0
0
03 Nov 2024
Generative Flows on Synthetic Pathway for Drug Design
Generative Flows on Synthetic Pathway for Drug Design
Seonghwan Seo
Minsu Kim
Tony Shen
Martin Ester
Jinkyoo Park
Sungsoo Ahn
Woo Youn Kim
45
3
0
06 Oct 2024
Implicitly Guided Design with PropEn: Match your Data to Follow the
  Gradient
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
Natavsa Tagasovska
Vladimir Gligorijević
Kyunghyun Cho
Andreas Loukas
DiffM
59
4
0
28 May 2024
NVDiff: Graph Generation through the Diffusion of Node Vectors
NVDiff: Graph Generation through the Diffusion of Node Vectors
Xiaohui Chen
Yukun Li
Aonan Zhang
Liping Liu
DiffM
28
21
0
19 Nov 2022
An efficient graph generative model for navigating ultra-large
  combinatorial synthesis libraries
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries
Aryan Pedawi
P. Gniewek
Chao-Ling Chang
Brandon M. Anderson
H. V. D. Bedem
41
5
0
19 Oct 2022
Review of Natural Language Processing in Pharmacology
Review of Natural Language Processing in Pharmacology
D. Trajanov
Vangel Trajkovski
Makedonka Dimitrieva
Jovana Dobreva
Milos Jovanovik
Matej Klemen
Alevs vZagar
Marko Robnik-vSikonja
LM&MA
36
7
0
22 Aug 2022
Bayesian Sequential Stacking Algorithm for Concurrently Designing
  Molecules and Synthetic Reaction Networks
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks
Qi Zhang
Chang Liu
Stephen Wu
Ryo Yoshida
BDL
42
3
0
01 Mar 2022
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph
  Generation
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation
Marco Podda
D. Bacciu
BDL
30
10
0
18 Jul 2021
Improving black-box optimization in VAE latent space using decoder
  uncertainty
Improving black-box optimization in VAE latent space using decoder uncertainty
Pascal Notin
José Miguel Hernández-Lobato
Y. Gal
32
61
0
30 Jun 2021
Planning Spatial Networks with Monte Carlo Tree Search
Planning Spatial Networks with Monte Carlo Tree Search
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
27
7
0
12 Jun 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques
Artificial Intelligence in Drug Discovery: Applications and Techniques
Jianyuan Deng
Zhibo Yang
Iwao Ojima
Dimitris Samaras
Fusheng Wang
AI4TS
42
100
0
09 Jun 2021
Barking up the right tree: an approach to search over molecule synthesis
  DAGs
Barking up the right tree: an approach to search over molecule synthesis DAGs
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
56
56
0
21 Dec 2020
RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De
  Novo Drug Design
RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design
Cheng-Hao Liu
Maksym Korablyov
Stanislaw Jastrzebski
Pawel Wlodarczyk-Pruszynski
Yoshua Bengio
Marwin H. S. Segler
GNN
34
16
0
25 Nov 2020
Symmetry-Aware Actor-Critic for 3D Molecular Design
Symmetry-Aware Actor-Critic for 3D Molecular Design
G. Simm
Robert Pinsler
Gábor Csányi
José Miguel Hernández-Lobato
AI4CE
29
64
0
25 Nov 2020
Graph Polish: A Novel Graph Generation Paradigm for Molecular
  Optimization
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization
Chaojie Ji
Yijia Zheng
Ruxin Wang
Yunpeng Cai
Hongyan Wu
26
18
0
14 Aug 2020
Guiding Deep Molecular Optimization with Genetic Exploration
Guiding Deep Molecular Optimization with Genetic Exploration
Sungsoo Ahn
Junsup Kim
Hankook Lee
Jinwoo Shin
29
70
0
04 Jul 2020
Autonomous discovery in the chemical sciences part II: Outlook
Autonomous discovery in the chemical sciences part II: Outlook
Connor W. Coley
Natalie S. Eyke
K. Jensen
29
171
0
30 Mar 2020
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
G. Simm
Robert Pinsler
José Miguel Hernández-Lobato
AI4CE
21
82
0
18 Feb 2020
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
Alessio Micheli
Marco Podda
AI4CE
GNN
51
277
0
29 Dec 2019
A Generative Model for Molecular Distance Geometry
A Generative Model for Molecular Distance Geometry
G. Simm
José Miguel Hernández-Lobato
GAN
29
107
0
25 Sep 2019
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
197
633
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
206
886
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
239
1,340
0
12 Feb 2018
Constrained Bayesian Optimization for Automatic Chemical Design
Constrained Bayesian Optimization for Automatic Chemical Design
Ryan-Rhys Griffiths
José Miguel Hernández-Lobato
BDL
39
76
0
16 Sep 2017
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