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"Found in Translation": Predicting Outcomes of Complex Organic Chemistry
  Reactions using Neural Sequence-to-Sequence Models

"Found in Translation": Predicting Outcomes of Complex Organic Chemistry Reactions using Neural Sequence-to-Sequence Models

13 November 2017
P. Schwaller
T. Gaudin
D. Lanyi
C. Bekas
Teodoro Laino
ArXivPDFHTML

Papers citing ""Found in Translation": Predicting Outcomes of Complex Organic Chemistry Reactions using Neural Sequence-to-Sequence Models"

29 / 29 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
40
1
0
11 Jan 2025
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models
Alexius Wadell
Anoushka Bhutani
Venkatasubramanian Viswanathan
127
0
0
19 Sep 2024
Aligning Transformers with Continuous Feedback via Energy Rank Alignment
Aligning Transformers with Continuous Feedback via Energy Rank Alignment
Shriram Chennakesavalu
Frank Hu
Sebastian Ibarraran
Grant M. Rotskoff
33
3
0
21 May 2024
Holistic chemical evaluation reveals pitfalls in reaction prediction
  models
Holistic chemical evaluation reveals pitfalls in reaction prediction models
Victor Sabanza Gil
Andres M Bran
Malte Franke
Remi Schlama
J. Luterbacher
Philippe Schwaller
ELM
25
1
0
14 Dec 2023
Language models in molecular discovery
Language models in molecular discovery
Chaoqi Wang
Yibo Jiang
Chenghao Yang
Han Liu
Yuxin Chen
23
7
0
28 Sep 2023
MolXPT: Wrapping Molecules with Text for Generative Pre-training
MolXPT: Wrapping Molecules with Text for Generative Pre-training
Zequn Liu
Wei Zhang
Yingce Xia
Lijun Wu
Shufang Xie
Tao Qin
M. Zhang
Tie-Yan Liu
22
66
0
18 May 2023
Unifying Molecular and Textual Representations via Multi-task Language
  Modelling
Unifying Molecular and Textual Representations via Multi-task Language Modelling
Dimitrios Christofidellis
Giorgio Giannone
Jannis Born
Ole Winther
Teodoro Laino
Matteo Manica
AI4CE
19
79
0
29 Jan 2023
BARTSmiles: Generative Masked Language Models for Molecular
  Representations
BARTSmiles: Generative Masked Language Models for Molecular Representations
Gayane Chilingaryan
Hovhannes Tamoyan
Ani Tevosyan
N. Babayan
L. Khondkaryan
Karen Hambardzumyan
Zaven Navoyan
Hrant Khachatrian
Armen Aghajanyan
SSL
29
25
0
29 Nov 2022
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework
  Property Prediction
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction
Zhonglin Cao
Rishikesh Magar
Yuyang Wang
A. Farimani
AI4CE
23
88
0
25 Oct 2022
TransPolymer: a Transformer-based language model for polymer property
  predictions
TransPolymer: a Transformer-based language model for polymer property predictions
Changwen Xu
Yuyang Wang
A. Farimani
24
86
0
03 Sep 2022
Learning from flowsheets: A generative transformer model for
  autocompletion of flowsheets
Learning from flowsheets: A generative transformer model for autocompletion of flowsheets
Gabriel Vogel
Lukas Schulze Balhorn
Artur M. Schweidtmann
AI4CE
35
33
0
01 Aug 2022
Root-aligned SMILES: A Tight Representation for Chemical Reaction
  Prediction
Root-aligned SMILES: A Tight Representation for Chemical Reaction Prediction
Zipeng Zhong
Jie Song
Zunlei Feng
Tiantao Liu
Lingxiang Jia
Shaolun Yao
Min-Ying Wu
Tingjun Hou
Mingli Song
29
53
0
22 Mar 2022
Permutation invariant graph-to-sequence model for template-free
  retrosynthesis and reaction prediction
Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction
Zhengkai Tu
Connor W. Coley
30
90
0
19 Oct 2021
Automated and Explainable Ontology Extension Based on Deep Learning: A
  Case Study in the Chemical Domain
Automated and Explainable Ontology Extension Based on Deep Learning: A Case Study in the Chemical Domain
A. Memariani
Martin Glauer
Fabian Neuhaus
Till Mossakowski
Janna Hastings
28
5
0
19 Sep 2021
Geometric Deep Learning on Molecular Representations
Geometric Deep Learning on Molecular Representations
Kenneth Atz
F. Grisoni
G. Schneider
AI4CE
34
287
0
26 Jul 2021
Dataset Bias in the Natural Sciences: A Case Study in Chemical Reaction
  Prediction and Synthesis Design
Dataset Bias in the Natural Sciences: A Case Study in Chemical Reaction Prediction and Synthesis Design
Ryan-Rhys Griffiths
P. Schwaller
Alpha A. Lee
AI4CE
34
19
0
06 May 2021
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention
  Networks
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks
Anna Weber
Jannis Born
María Rodríguez Martínez
11
129
0
21 Apr 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
51
56
0
21 Dec 2020
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Chao-chao Yan
Qianggang Ding
P. Zhao
Shuangjia Zheng
Jinyu Yang
Yang Yu
Junzhou Huang
25
107
0
04 Nov 2020
Drug discovery with explainable artificial intelligence
Drug discovery with explainable artificial intelligence
José Jiménez-Luna
F. Grisoni
G. Schneider
30
625
0
01 Jul 2020
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as
  Sequences of Graph Edits
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits
Mikolaj Sacha
Mikolaj Blaz
Piotr Byrski
Paweł Dąbrowski-Tumański
Mikołaj Chromiński
Rafał Loska
Pawel Wlodarczyk-Pruszynski
Stanislaw Jastrzebski
GNN
25
142
0
27 Jun 2020
A Graph to Graphs Framework for Retrosynthesis Prediction
A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi
Minkai Xu
Hongyu Guo
Ming Zhang
Jian Tang
19
151
0
28 Mar 2020
Retrosynthesis Prediction with Conditional Graph Logic Network
Retrosynthesis Prediction with Conditional Graph Logic Network
H. Dai
Chengtao Li
Connor W. Coley
Bo Dai
Le Song
26
177
0
06 Jan 2020
SMILES-X: autonomous molecular compounds characterization for small
  datasets without descriptors
SMILES-X: autonomous molecular compounds characterization for small datasets without descriptors
G. Lambard
Ekaterina Gracheva
27
20
0
20 Jun 2019
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical
  Reaction Prediction
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction
P. Schwaller
Teodoro Laino
John McGuinness
A. Horváth
Constantine Bekas
A. Lee
25
719
0
06 Nov 2018
Compressing physical properties of atomic species for improving
  predictive chemistry
Compressing physical properties of atomic species for improving predictive chemistry
John E. Herr
Kevin J Koh
Kun Yao
John A. Parkhill
AI4CE
14
20
0
31 Oct 2018
A Generative Model For Electron Paths
A Generative Model For Electron Paths
John Bradshaw
Matt J. Kusner
Brooks Paige
Marwin H. S. Segler
José Miguel Hernández-Lobato
14
55
0
23 May 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
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
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