Artículos con órdenes de acceso público - Hongming ChenMás información
No disponibles en ningún lugar: 7
AI-assisted synthesis prediction
S Johansson, A Thakkar, T Kogej, E Bjerrum, S Genheden, T Bastys, ...
Drug Discovery Today: Technologies 32, 65-72, 2019
Órdenes: Knut and Alice Wallenberg Foundation
Drlinker: Deep reinforcement learning for optimization in fragment linking design
Y Tan, L Dai, W Huang, Y Guo, S Zheng, J Lei, H Chen, Y Yang
Journal of Chemical Information and Modeling 62 (23), 5907-5917, 2022
Órdenes: National Natural Science Foundation of China
De Novo Molecule Design Using Molecular Generative Models Constrained by Ligand–Protein Interactions
J Zhang, H Chen
Journal of chemical information and modeling 62 (14), 3291-3306, 2022
Órdenes: National Natural Science Foundation of China
Kinase inhibitor scaffold hopping with deep learning approaches
L Hu, Y Yang, S Zheng, J Xu, T Ran, H Chen
Journal of Chemical Information and Modeling 61 (10), 4900-4912, 2021
Órdenes: National Natural Science Foundation of China
Small-molecule modulation of p53 protein-protein interactions
A Kuusk, H Boyd, H Chen, C Ottmann
Biological Chemistry 401 (8), 921-931, 2020
Órdenes: European Commission
Deep learning-driven scaffold hopping in the discovery of Akt kinase inhibitors
Z Wang, T Ran, F Xu, C Wen, S Song, Y Zhou, H Chen, X Lu
Chemical Communications 57 (81), 10588-10591, 2021
Órdenes: National Natural Science Foundation of China
Molecular De Novo Design Through Deep Generative Models
O Engkvist, J Arús-Pous, EJ Bjerrum, H Chen
Órdenes: European Commission
Disponibles en algún lugar: 41
The rise of deep learning in drug discovery
H Chen, O Engkvist, Y Wang, M Olivecrona, T Blaschke
Drug discovery today 23 (6), 1241-1250, 2018
Órdenes: European Commission
Molecular de-novo design through deep reinforcement learning
M Olivecrona, T Blaschke, O Engkvist, H Chen
Journal of Cheminformatics 9, 48, 2017
Órdenes: European Commission
Application of Generative Autoencoder in De Novo Molecular Design
T Blaschke, M Olivecrona, O Engkvist, J Bajorath, H Chen
Molecular informatics 37 (1-2), 1700123, 2018
Órdenes: European Commission
REINVENT 2.0: an AI tool for de novo drug design
T Blaschke, J Arús-Pous, H Chen, C Margreitter, C Tyrchan, O Engkvist, ...
Journal of chemical information and modeling 60 (12), 5918-5922, 2020
Órdenes: European Commission
A de novo molecular generation method using latent vector based generative adversarial network
O Prykhodko, SV Johansson, PC Kotsias, J Arús-Pous, EJ Bjerrum, ...
Journal of Cheminformatics 11, 1-13, 2019
Órdenes: European Commission
Randomized SMILES Strings Improve the Quality of Molecular Generative Models
J Arús-Pous, S Johansson, O Ptykhodko, EJ Bjerrum, C Tyrchan, ...
https://chemrxiv.org/articles …, 2019
Órdenes: European Commission
ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics
J Sun, N Jeliazkova, V Chupakhin, JF Golib-Dzib, O Engkvist, L Carlsson, ...
Journal of cheminformatics 9, 1-9, 2017
Órdenes: European Commission
On the Integration of In Silico Drug Design Methods for Drug Repurposing
E March-Vila, L Pinzi, N Sturm, A Tinivella, O Engkvist, H Chen, G Rastelli
Frontiers in pharmacology 8, 298, 2017
Órdenes: European Commission
Exploring the GDB-13 chemical space using deep generative models
J Arús-Pous, T Blaschke, S Ulander, JL Reymond, H Chen, O Engkvist
Journal of cheminformatics 11, 1-14, 2019
Órdenes: European Commission
SMILES-based deep generative scaffold decorator for de-novo drug design
J Arús-Pous, A Patronov, EJ Bjerrum, C Tyrchan, JL Reymond, H Chen, ...
Journal of cheminformatics 12, 1-18, 2020
Órdenes: Swiss National Science Foundation, European Commission
Building attention and edge message passing neural networks for bioactivity and physical–chemical property prediction
M Withnall, E Lindelöf, O Engkvist, H Chen
Journal of cheminformatics 12 (1), 1, 2020
Órdenes: European Commission
BIGCHEM: challenges and opportunities for big data analysis in chemistry
IV Tetko, O Engkvist, U Koch, JL Reymond, H Chen
Molecular informatics 35 (11-12), 615-621, 2016
Órdenes: European Commission
MraY–antibiotic complex reveals details of tunicamycin mode of action
JK Hakulinen, J Hering, G Brändén, H Chen, A Snijder, M Ek, ...
Nature chemical biology 13 (3), 265-267, 2017
Órdenes: European Commission
La información de publicación y financiación se determina de forma automática mediante un programa informático