Peng Zhou
Orcid: 0000-0001-5681-9937Affiliations:
- University of Electronic Science and Technology of China, Center for Informational Biology, Chengdu, China
- Zhejiang University, Department of Chemistry, Hangzhou, China (PhD 2011)
According to our database1,
Peng Zhou
authored at least 19 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
2022
Machine Learning-based Modeling and Prediction of the Intrinsic Relationship between Human Emotion and Music.
ACM Trans. Appl. Percept., 2022
Integrated unsupervised-supervised modeling and prediction of protein-peptide affinities at structural level.
Briefings Bioinform., 2022
2021
Systematic Comparison and Comprehensive Evaluation of 80 Amino Acid Descriptors in Peptide QSAR Modeling.
J. Chem. Inf. Model., 2021
Use of Gaussian Process to Model, predict and Explain Human Emotional response to Chinese Traditional Music.
Adv. Complex Syst., 2021
2020
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020
2017
Targeting Self-Binding Peptides as a Novel Strategy To Regulate Protein Activity and Function: A Case Study on the Proto-oncogene Tyrosine Protein Kinase <i>c</i>-Src.
J. Chem. Inf. Model., 2017
2016
2015
2014
Indirect Readout in Protein-Peptide Recognition: A Different Story from Classical Biomolecular Recognition.
J. Chem. Inf. Model., 2014
2013
Biomacromolecular quantitative structure-activity relationship (BioQSAR): a proof-of-concept study on the modeling, prediction and interpretation of protein-protein binding affinity.
J. Comput. Aided Mol. Des., 2013
Comput. Math. Methods Medicine, 2013
Fast and reliable prediction of domain-peptide binding affinity using coarse-grained structure models.
Biosyst., 2013
2011
Characterization of PDZ domain-peptide interactions using an integrated protocol of QM/MM, PB/SA, and CFEA analyses.
J. Comput. Aided Mol. Des., 2011
2010
J. Chem. Inf. Model., 2010
2009
J. Chem. Inf. Model., 2009
J. Comput. Chem., 2009
Side-chain conformational space analysis (SCSA): A multi conformation-based QSAR approach for modeling and prediction of protein-peptide binding affinities.
J. Comput. Aided Mol. Des., 2009
Briefings Bioinform., 2009