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SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug
  Discovery

SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery

12 November 2019
Shion Honda
Shoi Shi
H. Ueda
    MedIm
ArXivPDFHTML

Papers citing "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery"

27 / 27 papers shown
Title
ChemDFM-X: Towards Large Multimodal Model for Chemistry
ChemDFM-X: Towards Large Multimodal Model for Chemistry
Zihan Zhao
B. Chen
Jingpiao Li
Lu Chen
Liyang Wen
...
Ziping Wan
Yansi Li
Zhongyang Dai
Xin Chen
Kai Yu
AI4CE
45
3
0
03 Jan 2025
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Junjie Xu
Artem Moskalev
Tommaso Mansi
Mangal Prakash
Rui Liao
AI4CE
26
1
0
15 Oct 2024
Repurformer: Transformers for Repurposing-Aware Molecule Generation
Repurformer: Transformers for Repurposing-Aware Molecule Generation
Changhun Lee
Gyumin Lee
47
0
0
16 Jul 2024
MolFusion: Multimodal Fusion Learning for Molecular Representations via
  Multi-granularity Views
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views
Muzhen Cai
Sendong Zhao
Haochun Wang
Yanrui Du
Zewen Qiang
Bing Qin
Ting Liu
29
0
0
26 Jun 2024
In-Context Learning for Few-Shot Molecular Property Prediction
In-Context Learning for Few-Shot Molecular Property Prediction
Christopher Fifty
J. Leskovec
Sebastian Thrun
36
5
0
13 Oct 2023
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural
  Network
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
Akihiro Kishimoto
Hiroshi Kajino
Masataka Hirose
Junta Fuchiwaki
Indra Priyadarsini
Lisa Hamada
Hajime Shinohara
D. Nakano
Seiji Takeda
AI4CE
20
4
0
28 Sep 2023
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property
  Prediction with 3D Information
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information
Taojie Kuang
Yiming Ren
Zhixiang Ren
23
7
0
28 Sep 2023
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning
  Molecular Representations
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations
Yili Chen
Zhengyu Li
Zheng Wan
Hui Yu
Xian Wei
21
0
0
25 Jul 2023
Fractional Denoising for 3D Molecular Pre-training
Fractional Denoising for 3D Molecular Pre-training
Shi Feng
Yuyan Ni
Yanyan Lan
Zhiming Ma
Wei-Ying Ma
DiffM
AI4CE
42
25
0
20 Jul 2023
Bayesian Optimization of Catalysis With In-Context Learning
Bayesian Optimization of Catalysis With In-Context Learning
M. C. Ramos
Shane S. Michtavy
Marc D. Porosoff
Andrew D. White
BDL
44
30
0
11 Apr 2023
Activity Cliff Prediction: Dataset and Benchmark
Activity Cliff Prediction: Dataset and Benchmark
Ziqiao Zhang
Bangyi Zhao
Ailin Xie
Yatao Bian
Shuigeng Zhou
17
10
0
15 Feb 2023
Molecular Joint Representation Learning via Multi-modal Information
Molecular Joint Representation Learning via Multi-modal Information
Tianyu Wu
Yang Tang
Qiyu Sun
Luolin Xiong
11
14
0
25 Nov 2022
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph
  Neural Networks
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks
Ryien Hosseini
F. Simini
Austin R. Clyde
A. Ramanathan
19
5
0
04 Nov 2022
Unified 2D and 3D Pre-Training of Molecular Representations
Unified 2D and 3D Pre-Training of Molecular Representations
Jinhua Zhu
Yingce Xia
Lijun Wu
Shufang Xie
Tao Qin
Wen-gang Zhou
Houqiang Li
Tie-Yan Liu
AI4CE
54
67
0
14 Jul 2022
A smile is all you need: Predicting limiting activity coefficients from
  SMILES with natural language processing
A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processing
Benedikt Winter
Clemens Winter
J. Schilling
A. Bardow
23
28
0
15 Jun 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for
  Molecule Design
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Yuanqi Du
Tianfan Fu
Jimeng Sun
Shengchao Liu
AI4CE
25
86
0
28 Mar 2022
Deep Molecular Representation Learning via Fusing Physical and Chemical
  Information
Deep Molecular Representation Learning via Fusing Physical and Chemical Information
Shuwen Yang
Ziyao Li
Guojie Song
Lingsheng Cai
AI4CE
35
28
0
28 Nov 2021
Relative Molecule Self-Attention Transformer
Relative Molecule Self-Attention Transformer
Lukasz Maziarka
Dawid Majchrowski
Tomasz Danel
Piotr Gaiñski
Jacek Tabor
Igor T. Podolak
Pawel M. Morkisz
Stanislaw Jastrzebski
MedIm
32
34
0
12 Oct 2021
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs
Fang Wu
Dragomir R. Radev
Huabin Xing
ViT
14
54
0
04 Oct 2021
Geometric Deep Learning on Molecular Representations
Geometric Deep Learning on Molecular Representations
Kenneth Atz
F. Grisoni
G. Schneider
AI4CE
30
286
0
26 Jul 2021
Learning Attributed Graph Representations with Communicative Message
  Passing Transformer
Learning Attributed Graph Representations with Communicative Message Passing Transformer
Jianwen Chen
Shuangjia Zheng
Ying Song
Jiahua Rao
Yuedong Yang
22
46
0
19 Jul 2021
Predicting Chemical Properties using Self-Attention Multi-task Learning
  based on SMILES Representation
Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation
Sangrak Lim
Yong Oh Lee
12
17
0
19 Oct 2020
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis
Katsuhiko Ishiguro
K. Ujihara
R. Sawada
Hirotaka Akita
Masaaki Kotera
22
6
0
02 Oct 2020
Molecule Attention Transformer
Molecule Attention Transformer
Lukasz Maziarka
Tomasz Danel
Slawomir Mucha
Krzysztof Rataj
Jacek Tabor
Stanislaw Jastrzebski
11
167
0
19 Feb 2020
Machine learning and AI-based approaches for bioactive ligand discovery
  and GPCR-ligand recognition
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
S. Raschka
Benjamin Kaufman
AI4CE
16
67
0
17 Jan 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,337
0
12 Feb 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
169
1,775
0
02 Mar 2017
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