activity
20052021
most citedLearning to design drug-like molecules in three-dimensional space using deep generative models

184 citations · 391 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2021★ 184 cited

Learning to design drug-like molecules in three-dimensional space using deep generative models

Yibo Li, Jianfeng Pei, Luhua Lai

Recently, deep generative models for molecular graphs are gaining more and more attention in the field of de novo drug design. A variety of models have been developed to generate t…

q-bio.QM2019★ 1 cited

Automatic Retrosynthetic Pathway Planning Using Template-free Models

Kangjie Lin, Youjun Xu, Jianfeng Pei +1

We present an attention-based Transformer model for automatic retrosynthesis route planning. Our approach starts from reactants prediction of single-step organic reactions for give…

stat.ML2017★ 23 cited

Deep Learning Based Regression and Multi-class Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction

Youjun Xu, Jianfeng Pei, Luhua Lai

For quantitative structure-property relationship (QSPR) studies in chemoinformatics, it is important to get interpretable relationship between chemical properties and chemical feat…

q-bio.MN2006★ 10 cited

Robustness and modular design of the Drosophila segment polarity network

Wenzhe Ma, Luhua Lai, Qi Ouyang +1

Biomolecular networks have to perform their functions robustly. A robust function may have preferences in the topological structures of the underlying network. We carried out an ex…

q-bio.BM2005★ 173 cited

Specificity of Trypsin and Chymotrypsin: Loop Motion Controlled Dynamic Correlation as a Determinant

Wenzhe Ma, Chao Tang, Luhua Lai

Trypsin and chymotrypsin are both serine proteases with high sequence and structural similarities, but with different substrate specificity. Previous experiments have demonstrated…