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Shenggeng Lin
Observed names:
Lin, Shenggeng,
S. Lin
Institutions:
Shanghai Jiao Tong University,
State Key Laboratory of Microbial Metabolism,
Shanghai Innovation Institute
Observed institutions:
Shanghai Jiao Tong University,
Jilin University,
State Key Laboratory of Microbial Metabolism,
Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University,
Shanghai Innovation Institute
ORCID:
0000-0001-6087-0102
Observed ORCID:
0000-0001-6087-0102
OpenAlex ID:
A5102441552
MDF-SA-DDI: predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism
2021
·
Shenggeng Lin
, Yanjing Wang
, et al.
·
Briefings in Bioinformatics
·
205
MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning
2022
·
Shenggeng Lin
, Weizhi Chen
, et al.
·
Journal of Cheminformatics
·
63
PDF
TEPCAM : Prediction of T ‐cell receptor–epitope binding specificity via interpretable deep learning
2023
·
Junwei Chen
, Bowen Zhao
, et al.
·
Protein Science
·
40
PDF
An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model
2024
·
Yufang Zhang
, Jiayi Li
, et al.
·
Journal of Cheminformatics
·
25
DeepPSE: Prediction of polypharmacy side effects by fusing deep representation of drug pairs and attention mechanism
2022
·
Shenggeng Lin
, Guangwei Zhang
, et al.
·
Computers in Biology and Medicine
·
23
Network pharmacology- and molecular simulation-based exploration of therapeutic targets and mechanisms of heparin for the treatment of sepsis/COVID-19
2023
·
Yitian Fang
, Shenggeng Lin
, et al.
·
Journal of Biomolecular Structure and Dynamics
·
17
MATT-DDI: Predicting multi-type drug-drug interactions via heterogeneous attention mechanisms
2023
·
Shenggeng Lin
, Xueying Mao
, et al.
·
Methods
·
16
ReHoGCNES-MDA: prediction of miRNA-disease associations using homogenous graph convolutional networks based on regular graph with random edge sampler
2024
·
Yufang Zhang
, Yanyi Chu
, et al.
·
Briefings in Bioinformatics
·
9
PDF
Towards interpretable drug interaction prediction via dual-stage attention and Bayesian calibration with active learning
2025
·
Rongpei Li
, Yufang Zhang
, et al.
·
PeerJ Computer Science
·
5
Construction of Network Biomarkers Using Inter-Feature Correlation Coefficients (FeCO3) and their Application in Detecting High-Order Breast Cancer Biomarkers
2022
·
Shenggeng Lin
, Yuqi Lin
, et al.
·
Current Bioinformatics
·
5
ProStab: Prediction of protein stability change upon mutations by protein language and inverse folding models
2025
·
Hong Tan
, Xiaowei Wei
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
4
PDF
Spatio-temporal dependence-based tensor fusion for thermocline analysis in Argo data
2020
·
Yu Jiang
, Shenggeng Lin
, et al.
·
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
·
4
Hot-Spot-Guided Generative Deep Learning for Drug-Like PPI Inhibitor Design
2025
·
Heqi Sun
, Jiayi Li
, et al.
·
Interdisciplinary Sciences Computational Life Sciences
·
3
Target-specific design of drug-like PPI inhibitors via hot-spot-guided generative deep learning
2024
·
Heqi Sun
, Jiayi Li
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
2
Leveraging deep transfer learning for identification of essential human miRNAs
2025
·
Shenggeng Lin
, Tong Zhu
, et al.
·
Molecular Therapy
Network pharmacology- and molecular simulation-based exploration of therapeutic targets and mechanisms of heparin for the treatment of sepsis/COVID-19
2023
·
Fang, Yitian
, Lin, Shenggeng
, et al.
·
Figshare
Supplementary material to "Water-saving ground cover rice production system reduces net greenhouse gas fluxes in an annual rice-based cropping system"
2014
·
Z. Yao
, Y. Du
, et al.
PDF
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Works count:
20
Citation count:
425
H-index:
8
I10-index:
7
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