Zhen-Ling Peng

Orcid: 0000-0003-0303-6693

Affiliations:
  • 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 24 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
RNA threading with secondary structure and sequence profile.
Bioinform., February, 2024

2023
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.
Nucleic Acids Res., July, 2023

A unified approach to protein domain parsing with inter-residue distance matrix.
Bioinform., February, 2023

CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information.
Briefings Bioinform., January, 2023

2022
On Monomeric and Multimeric Structures-Based Protein-Ligand Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Single-sequence protein structure prediction using supervised transformer protein language models.
Nat. Comput. Sci., 2022

Toward the assessment of predicted inter-residue distance.
Bioinform., 2022

2021
Improved estimation of model quality using predicted inter-residue distance.
Bioinform., 2021

RNA inter-nucleotide 3D closeness prediction by deep residual neural networks.
Bioinform., 2021

Recognition of small molecule-RNA binding sites using RNA sequence and structure.
Bioinform., 2021

2020
Protein contact prediction using metagenome sequence data and residual neural networks.
Bioinform., 2020

CATHER: a novel threading algorithm with predicted contacts.
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

mTM-align: an algorithm for fast and accurate multiple protein structure alignment.
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
On the Complementarity of the Consensus-Based Disorder Prediction.
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


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