SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules

21 March 2017

Papers citing "SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules"

25 / 25 papers shown

Title
Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM Collin Beaudoin Swaroop Ghosh 36 0 0 29 Apr 2025
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design Zimo Yan Jie Zhang Zheng Xie Chang-rui Liu Yong-Jin Liu Yiping Song 36 0 0 22 Apr 2025
Language models in molecular discovery Chaoqi Wang Yibo Jiang Chenghao Yang Han Liu Yuxin Chen 23 7 0 28 Sep 2023
Recent advances in artificial intelligence for retrosynthesis Zipeng Zhong Jie Song Zunlei Feng Tiantao Liu Lingxiang Jia Shaolun Yao Tingjun Hou Mingli Song 29 5 0 14 Jan 2023
Investigation of chemical structure recognition by encoder-decoder models in learning progress Katsuhisa Morita T. Mizuno Hiroyuki Kusuhara 19 8 0 24 Oct 2022
Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES E. Bjerrum Christian Margreitter Thomas Blaschke Raquel Lopez-Rios de Castro 32 11 0 22 Oct 2022
A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processing Benedikt Winter Clemens Winter J. Schilling A. Bardow 25 28 0 15 Jun 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design Yuanqi Du Tianfan Fu Jimeng Sun Shengchao Liu AI4CE 31 86 0 28 Mar 2022
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation Mohammadamin Tavakoli Alexander Shmakov Francesco Ceccarelli Pierre Baldi GNN 33 8 0 02 Jan 2022
AugLiChem: Data Augmentation Library of Chemical Structures for Machine Learning Rishikesh Magar Yuyang Wang Cooper Lorsung Chen Liang Hariharan Ramasubramanian Peiyuan Li A. Farimani 28 27 0 30 Nov 2021
Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction Zhengkai Tu Connor W. Coley 30 90 0 19 Oct 2021
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties Jerret Ross Brian M. Belgodere Vijil Chenthamarakshan Inkit Padhi Youssef Mroueh Payel Das AI4CE 24 272 0 17 Jun 2021
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates Jenna A. Bilbrey Logan T. Ward Sutanay Choudhury Neeraj Kumar Ganesh Sivaraman 24 1 0 07 May 2021
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks Anna Weber Jannis Born María Rodríguez Martínez 11 129 0 21 Apr 2021
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19 Logan T. Ward Jenna A. Bilbrey Sutanay Choudhury Neeraj Kumar Ganesh Sivaraman GNN 27 3 0 09 Feb 2021
Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery Zhengyang Wang Meng Liu Youzhi Luo Zhao Xu Yaochen Xie ... Lei Cai Q. Qi Zhuoning Yuan Tianbao Yang Shuiwang Ji 36 100 0 02 Dec 2020
Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation Sangrak Lim Yong Oh Lee 19 17 0 19 Oct 2020
Mixup-breakdown: a consistency training method for improving generalization of speech separation models Max W. Y. Lam Jun Wang Dan Su Dong Yu 30 22 0 28 Oct 2019
SMILES-X: autonomous molecular compounds characterization for small datasets without descriptors G. Lambard Ekaterina Gracheva 24 20 0 20 Jun 2019
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 194 633 0 29 Nov 2018
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images I. Cortés-Ciriano A. Bender MedIm 27 51 0 22 Nov 2018
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
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction Garrett B. Goh Khushmeen Sakloth Charles Siegel Abhinav Vishnu J. Pfaendtner HAI 28 11 0 13 Aug 2018
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction Garrett B. Goh Charles Siegel Abhinav Vishnu Nathan Oken Hodas 18 90 0 07 Dec 2017
Retrosynthetic reaction prediction using neural sequence-to-sequence models Bowen Liu Bharath Ramsundar Prasad Kawthekar Jade Shi Joseph Gomes Quang Luu Nguyen Stephen Ho Jack L. Sloane P. Wender Vijay S. Pande 20 411 0 06 Jun 2017