Zhen-Ling Peng
Orcid: 0000-0003-0303-6693Affiliations:
- Shandong University, Research Center for Mathematics and Interdisciplinary Sciences, Qingdao, China
- Tianjin University, Center for Applied Mathematics, China (former)
- University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada (PhD 2014)
According to our database1,
Zhen-Ling Peng
authored at least 25 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Bioinform., February, 2024
Q-BioLiP: A Comprehensive Resource for Quaternary Structure-based Protein-ligand Interactions.
Genom. Proteom. Bioinform., 2024
2023
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.
Nucleic Acids Res., July, 2023
Bioinform., February, 2023
CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information.
Briefings Bioinform., January, 2023
2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Single-sequence protein structure prediction using supervised transformer protein language models.
Nat. Comput. Sci., 2022
2021
Bioinform., 2021
Bioinform., 2021
Bioinform., 2021
2020
Protein contact prediction using metagenome sequence data and residual neural networks.
Bioinform., 2020
2019
Enhanced prediction of RNA solvent accessibility with long short-term memory neural networks and improved sequence profiles.
Bioinform., 2019
Improving the prediction of protein-nucleic acids binding residues via multiple sequence profiles and the consensus of complementary methods.
Bioinform., 2019
2018
COACH-D: improved protein-ligand binding sites prediction with refined ligand-binding poses through molecular docking.
Nucleic Acids Res., 2018
mTM-align: a server for fast protein structure database search and multiple protein structure alignment.
Nucleic Acids Res., 2018
Improving Sequence-Based Prediction of Protein-Peptide Binding Residues by Introducing Intrinsic Disorder and a Consensus Method.
J. Chem. Inf. Model., 2018
CoABind: a novel algorithm for Coenzyme A (CoA)- and CoA derivatives-binding residues prediction.
Bioinform., 2018
Bioinform., 2018
A large-scale comparative assessment of methods for residue-residue contact prediction.
Briefings Bioinform., 2018
2017
An ensemble approach to protein fold classification by integration of template-based assignment and support vector machine classifier.
Bioinform., 2017
2012
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012
2010
Prediction of protein structural classes for low-homology sequences based on predicted secondary structure.
BMC Bioinform., 2010
An improved classification of G-protein-coupled receptors using sequence-derived features.
BMC Bioinform., 2010