Feng Zhu
Orcid: 0000-0001-8069-0053Affiliations:
- Zhejiang University, College of Pharmaceutical Sciences, Hangzhou, China
- Chongqing University, School of Pharmaceutical Sciences, China (2012 - 2017)
- National University of Singapore, Department of Pharmacy, Singapore (PhD 2011)
According to our database1,
Feng Zhu
authored at least 76 papers
between 2010 and 2025.
Collaborative distances:
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Bibliography
2025
Expanding the sequence spaces of synthetic binding protein using deep learning-based framework ProteinMPNN.
Frontiers Comput. Sci., May, 2025
2024
Comput. Biol. Medicine, February, 2024
MoDAFold: a strategy for predicting the structure of missense mutant protein based on AlphaFold2 and molecular dynamics.
Briefings Bioinform., January, 2024
MOINER: A Novel Multiomics Early Integration Framework for Biomedical Classification and Biomarker Discovery.
J. Chem. Inf. Model., 2024
J. Chem. Inf. Model., 2024
Discovery of Potent Selective HDAC6 Inhibitors with 5-Phenyl-1<i>H</i>-indole Fragment: Virtual Screening, Rational Design, and Biological Evaluation.
J. Chem. Inf. Model., 2024
OPTICS: An interactive online platform for photosensory and bio-functional proteins in optogenetic systems.
Comput. Biol. Medicine, 2024
2023
EMNPD: a comprehensive endophytic microorganism natural products database for prompt the discovery of new bioactive substances.
J. Cheminformatics, December, 2023
OBMeta: a comprehensive web server to analyze and validate gut microbial features and biomarkers for obesity-associated metabolic diseases.
Bioinform., December, 2023
An interpretable ensemble learning model facilitates early risk stratification of ischemic stroke in intensive care unit: Development and external validation of ICU-ISPM.
Comput. Biol. Medicine, November, 2023
Editorial: Harnessing the Power of Large Language Model-Based Chatbots for Scientific Discovery.
J. Chem. Inf. Model., September, 2023
Nucleic Acids Res., July, 2023
Structure-Based Discovery of a Novel Allosteric Inhibitor against Human Dopamine Transporter.
J. Chem. Inf. Model., July, 2023
SoCube: an innovative end-to-end doublet detection algorithm for analyzing scRNA-seq data.
Briefings Bioinform., May, 2023
Systematic Description of the Content Variation of Natural Products (NPs): To Prompt the Yield of High-Value NPs and the Discovery of New Therapeutics.
J. Chem. Inf. Model., March, 2023
MecDDI: Clarified Drug-Drug Interaction Mechanism Facilitating Rational Drug Use and Potential Drug-Drug Interaction Prediction.
J. Chem. Inf. Model., March, 2023
Nucleic Acids Res., January, 2023
Nucleic Acids Res., January, 2023
Nucleic Acids Res., January, 2023
Nucleic Acids Res., January, 2023
A novel strategy for designing the magic shotguns for distantly related target pairs.
Briefings Bioinform., January, 2023
Briefings Bioinform., January, 2023
2022
Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents.
Nucleic Acids Res., 2022
Nucleic Acids Res., 2022
NPCDR: natural product-based drug combination and its disease-specific molecular regulation.
Nucleic Acids Res., 2022
REGLIV: Molecular regulation data of diverse living systems facilitating current multiomics research.
Comput. Biol. Medicine, 2022
PFmulDL: a novel strategy enabling multi-class and multi-label protein function annotation by integrating diverse deep learning methods.
Comput. Biol. Medicine, 2022
A similarity-based deep learning approach for determining the frequencies of drug side effects.
Briefings Bioinform., 2022
ncRNAInter: a novel strategy based on graph neural network to discover interactions between lncRNA and miRNA.
Briefings Bioinform., 2022
RNA-RNA interactions between SARS-CoV-2 and host benefit viral development and evolution during COVID-19 infection.
Briefings Bioinform., 2022
LargeMetabo: an out-of-the-box tool for processing and analyzing large-scale metabolomic data.
Briefings Bioinform., 2022
POSREG: proteomic signature discovered by simultaneously optimizing its reproducibility and generalizability.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
2021
Quant. Biol., December, 2021
Out-of-the-box deep learning prediction of pharmaceutical properties by broadly learned knowledge-based molecular representations.
Nat. Mach. Intell., 2021
Nucleic Acids Res., 2021
The mechanistic, diagnostic and therapeutic novel nucleic acids for hepatocellular carcinoma emerging in past score years.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Briefings Bioinform., 2021
2020
Nucleic Acids Res., 2020
NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data.
Nucleic Acids Res., 2020
Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics.
Nucleic Acids Res., 2020
Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data.
Briefings Bioinform., 2020
A novel bioinformatics approach to identify the consistently well-performing normalization strategy for current metabolomic studies.
Briefings Bioinform., 2020
A critical assessment of the feature selection methods used for biomarker discovery in current metaproteomics studies.
Briefings Bioinform., 2020
ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies.
Briefings Bioinform., 2020
Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening power.
Briefings Bioinform., 2020
Clinical trials, progression-speed differentiating features and swiftness rule of the innovative targets of first-in-class drugs.
Briefings Bioinform., 2020
Protein functional annotation of simultaneously improved stability, accuracy and false discovery rate achieved by a sequence-based deep learning.
Briefings Bioinform., 2020
Convolutional neural network-based annotation of bacterial type IV secretion system effectors with enhanced accuracy and reduced false discovery.
Briefings Bioinform., 2020
Genome-wide identification and analysis of the eQTL lncRNAs in multiple sclerosis based on RNA-seq data.
Briefings Bioinform., 2020
2019
HawkDock: a web server to predict and analyze the protein-protein complex based on computational docking and MM/GBSA.
Nucleic Acids Res., 2019
CoRR, 2019
farPPI: a webserver for accurate prediction of protein-ligand binding structures for small-molecule PPI inhibitors by MM/PB(GB)SA methods.
Bioinform., 2019
2018
Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics.
Nucleic Acids Res., 2018
Cheminformatic Insight into the Differences between Terrestrial and Marine Originated Natural Products.
J. Chem. Inf. Model., 2018
The Comprehensive Assessment of the Normalization Methods Applied to Metabolomics Data.
Proceedings of the 2018 7th International Conference on Bioinformatics and Biomedical Science, 2018
2017
Discovery of Novel and Selective Adenosine A<sub>2A</sub> Receptor Antagonists for Treating Parkinson's Disease through Comparative Structure-Based Virtual Screening.
J. Chem. Inf. Model., June, 2017
Nucleic Acids Res., 2017
HawkRank: a new scoring function for protein-protein docking based on weighted energy terms.
J. Cheminformatics, 2017
A protein network descriptor server and its use in studying protein, disease, metabolic and drug targeted networks.
Briefings Bioinform., 2017
2016
Therapeutic target database update 2016: enriched resource for bench to clinical drug target and targeted pathway information.
Nucleic Acids Res., 2016
2015
The Discrimination of Learning Styles by Bayes-Based Statistics: an Extended Study on ILS System.
Control. Intell. Syst., 2015
2014
Nucleic Acids Res., 2014
2012
Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery.
Nucleic Acids Res., 2012
2010