16 citations · 36 across the 28 of their papers we have counts for
5 papers · 1 filter
Sequence-based deep learning antibody design for in silico antibody affinity maturation
Yue Kang, Dawei Leng, Jinjiang Guo +1
Antibody therapeutics has been extensively studied in drug discovery and development within the past decades. One increasingly popular focus in the antibody discovery pipeline is t…
Real-time tracking of COVID-19 and coronavirus research updates through text mining
Yutong Jin, Jie Li, Xinyu Wang +5
The novel coronavirus (SARS-CoV-2) which causes COVID-19 is an ongoing pandemic. There are ongoing studies with up to hundreds of publications uploaded to databases daily. We are e…
ParaVS: A Simple, Fast, Efficient and Flexible Graph Neural Network Framework for Structure-Based Virtual Screening
Junfeng Wu, Dawei Leng, Lurong Pan
Structure-based virtual screening (SBVS) is a promising in silico technique that integrates computational methods into drug design. An extensively used method in SBVS is molecular…
Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations
Dawei Leng, Jinjiang Guo, Lurong Pan +2
Graph neural networks are emerging as continuation of deep learning success w.r.t. graph data. Tens of different graph neural network variants have been proposed, most following a…
Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction
Jinjiang Guo, Jie Li, Dawei Leng +1
Multi-scale biomedical knowledge networks are expanding with emerging experimental technologies that generates multi-scale biomedical big data. Link prediction is increasingly used…