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Root-aligned SMILES: A Tight Representation for Chemical Reaction
  Prediction

Root-aligned SMILES: A Tight Representation for Chemical Reaction Prediction

22 March 2022
Zipeng Zhong
Jie Song
Zunlei Feng
Tiantao Liu
Lingxiang Jia
Shaolun Yao
Min-Ying Wu
Tingjun Hou
Mingli Song
ArXivPDFHTML

Papers citing "Root-aligned SMILES: A Tight Representation for Chemical Reaction Prediction"

28 / 28 papers shown
Title
LLM-Augmented Chemical Synthesis and Design Decision Programs
LLM-Augmented Chemical Synthesis and Design Decision Programs
Haorui Wang
Jeff Guo
Lingkai Kong
R. Ramprasad
Philippe Schwaller
Yuanqi Du
Chao Zhang
21
0
0
11 May 2025
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning
Guikun Chen
Xu Zhang
Y. Yang
Wenguan Wang
40
0
0
26 Feb 2025
Enhancing Retrosynthesis with Conformer: A Template-Free Method
Enhancing Retrosynthesis with Conformer: A Template-Free Method
Jiaxi Zhuang
Qian Zhang
Ying Qian
45
0
0
21 Jan 2025
Accelerating the inference of string generation-based chemical reaction
  models for industrial applications
Accelerating the inference of string generation-based chemical reaction models for industrial applications
Mikhail Andronov
Natalia Andronova
Michael Wand
Jürgen Schmidhuber
Djork-Arné Clevert
AI4CE
18
3
0
12 Jul 2024
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
Piotr Gaiñski
Michał Koziarski
Krzysztof Maziarz
Marwin H. S. Segler
Jacek Tabor
Marek Śmieja
42
3
0
26 Jun 2024
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension
Khiem Le
Zhichun Guo
Kaiwen Dong
Xiaobao Huang
B. Nan
Roshni G. Iyer
Xiangliang Zhang
Olaf Wiest
Wei Wang
Nitesh V. Chawla
29
8
0
10 Jun 2024
Alignment is Key for Applying Diffusion Models to Retrosynthesis
Alignment is Key for Applying Diffusion Models to Retrosynthesis
Najwa Laabid
Severi Rissanen
Markus Heinonen
Arno Solin
Vikas K. Garg
DiffM
31
1
0
27 May 2024
RLSF: Reinforcement Learning via Symbolic Feedback
RLSF: Reinforcement Learning via Symbolic Feedback
Piyush Jha
Prithwish Jana
Arnav Arora
Vijay Ganesh
LRM
36
3
0
26 May 2024
ReactXT: Understanding Molecular "Reaction-ship" via
  Reaction-Contextualized Molecule-Text Pretraining
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining
Zhiyuan Liu
Yaorui Shi
An Zhang
Sihang Li
Enzhi Zhang
Xiang Wang
Kenji Kawaguchi
Tat-Seng Chua
38
10
0
23 May 2024
DirectMultiStep: Direct Route Generation for Multistep Retrosynthesis
DirectMultiStep: Direct Route Generation for Multistep Retrosynthesis
Yu Shee
Haote Li
Anton Morgunov
Victor S. Batista
41
1
0
22 May 2024
UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction
  with Unsupervised SMILES Alignment
UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES Alignment
Kaipeng Zeng
Bo Yang
Xin Zhao
Yu Zhang
Fan Nie
Xiaokang Yang
Yaohui Jin
Yanyan Xu
15
6
0
25 Mar 2024
Assessing the Extrapolation Capability of Template-Free Retrosynthesis
  Models
Assessing the Extrapolation Capability of Template-Free Retrosynthesis Models
Shuan Chen
Yousung Jung
ELM
18
1
0
29 Feb 2024
LlaSMol: Advancing Large Language Models for Chemistry with a
  Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset
LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset
Botao Yu
Frazier N. Baker
Ziqi Chen
Xia Ning
Huan Sun
LM&MA
42
35
0
14 Feb 2024
Retrosynthesis prediction enhanced by in-silico reaction data
  augmentation
Retrosynthesis prediction enhanced by in-silico reaction data augmentation
Xu Zhang
Yiming Mo
Wenguan Wang
Yi Yang
14
0
0
31 Jan 2024
Towards 3D Molecule-Text Interpretation in Language Models
Towards 3D Molecule-Text Interpretation in Language Models
Sihang Li
Zhiyuan Liu
Yancheng Luo
Xiang Wang
Xiangnan He
Kenji Kawaguchi
Tat-Seng Chua
Qi Tian
AI4CE
24
42
0
25 Jan 2024
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation
Yiming Wang
Yuxuan Song
Minkai Xu
Rui Wang
Hao Zhou
Wei-Ying Ma
23
2
0
23 Nov 2023
Re-evaluating Retrosynthesis Algorithms with Syntheseus
Re-evaluating Retrosynthesis Algorithms with Syntheseus
Krzysztof Maziarz
Austin Tripp
Guoqing Liu
Megan Stanley
Shufang Xie
Piotr Gaiñski
Philipp Seidl
Marwin H. S. Segler
ELM
27
12
0
30 Oct 2023
Retro-fallback: retrosynthetic planning in an uncertain world
Retro-fallback: retrosynthetic planning in an uncertain world
Austin Tripp
Krzysztof Maziarz
Sarah Lewis
Marwin H. S. Segler
José Miguel Hernández-Lobato
14
6
0
13 Oct 2023
Molecule-Edit Templates for Efficient and Accurate Retrosynthesis
  Prediction
Molecule-Edit Templates for Efficient and Accurate Retrosynthesis Prediction
Mikolaj Sacha
Michal Sadowski
Piotr Kozakowski
Ruard van Workum
Stanislaw Jastrzebski
21
1
0
11 Oct 2023
Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep
  Learning Approaches in Single-Step Retrosynthesis
Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step Retrosynthesis
Lin Yao
Wentao Guo
Zhen Wang
Shang Xiang
Wentan Liu
Guolin Ke
17
10
0
27 Sep 2023
RLSynC: Offline-Online Reinforcement Learning for Synthon Completion
RLSynC: Offline-Online Reinforcement Learning for Synthon Completion
Frazier N. Baker
Ziqi Chen
Daniel Adu-Ampratwum
Xia Ning
OffRL
OnRL
20
1
0
06 Sep 2023
RetroBridge: Modeling Retrosynthesis with Markov Bridges
RetroBridge: Modeling Retrosynthesis with Markov Bridges
Ilia Igashov
Arne Schneuing
Marwin H. S. Segler
Michael M. Bronstein
B. Correia
18
4
0
30 Aug 2023
Message-passing selection: Towards interpretable GNNs for graph
  classification
Message-passing selection: Towards interpretable GNNs for graph classification
Wen-Ding Li
Kaixuan Chen
Shunyu Liu
Wenjie Huang
Haofei Zhang
Yingjie Tian
Yun Su
Mingli Song
13
1
0
03 Jun 2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded
  Normalization
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
Kaixuan Chen
Shunyu Liu
Tongtian Zhu
Tongya Zheng
Haofei Zhang
Zunlei Feng
Jingwen Ye
Mingli Song
29
14
0
31 May 2023
Recent advances in artificial intelligence for retrosynthesis
Recent advances in artificial intelligence for retrosynthesis
Zipeng Zhong
Jie Song
Zunlei Feng
Tiantao Liu
Lingxiang Jia
Shaolun Yao
Tingjun Hou
Mingli Song
19
5
0
14 Jan 2023
$\mathsf{G^2Retro}$ as a Two-Step Graph Generative Models for
  Retrosynthesis Prediction
G2Retro\mathsf{G^2Retro}G2Retro as a Two-Step Graph Generative Models for Retrosynthesis Prediction
Ziqi Chen
Oluwatosin R. Ayinde
J. Fuchs
Huan Sun
Xia Ning
4
24
0
10 Jun 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
A Bayesian algorithm for retrosynthesis
A Bayesian algorithm for retrosynthesis
Zhongliang Guo
Stephen Wu
Mitsuru Ohno
Ryo Yoshida
BDL
30
27
0
06 Mar 2020
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