Yang Li

Orcid: 0000-0003-2480-1972

Affiliations:
  • Nanjing University of Science and Technology, School of Computer Science and Engineering, China
  • University of Michigan, Department of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA


According to our database1, Yang Li authored at least 15 papers between 2015 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2022
Fast and accurate Ab Initio Protein structure prediction using deep learning potentials.
PLoS Comput. Biol., September, 2022

DEMO2: Assemble multi-domain protein structures by coupling analogous template alignments with deep-learning inter-domain restraint prediction.
Nucleic Acids Res., 2022

LOMETS3: integrating deep learning and profile alignment for advanced protein template recognition and function annotation.
Nucleic Acids Res., 2022

2021
Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks.
PLoS Comput. Biol., 2021

2020
SSCpred: Single-Sequence-Based Protein Contact Prediction Using Deep Fully Convolutional Network.
J. Chem. Inf. Model., 2020

FUpred: detecting protein domains through deep-learning-based contact map prediction.
Bioinform., 2020

DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins.
Bioinform., 2020

2019
Detecting distant-homology protein structures by aligning deep neural-network based contact maps.
PLoS Comput. Biol., 2019

LOMETS2: improved meta-threading server for fold-recognition and structure-based function annotation for distant-homology proteins.
Nucleic Acids Res., 2019

ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks.
Bioinform., 2019

2018
ATPbind: Accurate Protein-ATP Binding Site Prediction by Combining Sequence-Profiling and Structure-Based Comparisons.
J. Chem. Inf. Model., 2018

2017
Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

2016
KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning.
Neurocomputing, 2016

GPCR-drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure.
Comput. Biol. Chem., 2016

2015
Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015


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