Yang Li

Yang Li

University of Michigan

H-index: 20

North America-United States

About Yang Li

Yang Li, With an exceptional h-index of 20 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Bioinformatics, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data

Integrating end-to-end learning with deep geometrical potentials for ab initio RNA structure prediction

Machine learning for protein inter-residue interaction prediction

I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction

Progressive assembly of multi-domain protein structures from cryo-EM density maps

Fast and accurate Ab Initio Protein structure prediction using deep learning potentials

DEMO2: Assemble multi-domain protein structures by coupling analogous template alignments with deep-learning inter-domain restraint prediction

LOMETS3: Integrating deep learning and profile alignment for advanced protein template recognition and function annotation

Yang Li Information

University

Position

___

Citations(all)

1758

Citations(since 2020)

1706

Cited By

438

hIndex(all)

20

hIndex(since 2020)

18

i10Index(all)

22

i10Index(since 2020)

21

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Yang Li Skills & Research Interests

Bioinformatics

Deep Learning

Top articles of Yang Li

Title

Journal

Author(s)

Publication Date

Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data

Nature Methods

Wei Zheng

Qiqige Wuyun

Yang Li

Chengxin Zhang

P Lydia Freddolino

...

2024/1/2

Integrating end-to-end learning with deep geometrical potentials for ab initio RNA structure prediction

Nature Communications

Yang Li

Chengxin Zhang

Chenjie Feng

Robin Pearce

P Lydia Freddolino

...

2023/9/16

Machine learning for protein inter-residue interaction prediction

Yang Li

Yan Liu

Dong-Jun Yu

2023

I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction

Xiaogen Zhou

Wei Zheng

Yang Li

Robin Pearce

Chengxin Zhang

...

2022/10

Progressive assembly of multi-domain protein structures from cryo-EM density maps

Nature computational science

Xiaogen Zhou

Yang Li

Chengxin Zhang

Wei Zheng

Guijun Zhang

...

2022/4

Fast and accurate Ab Initio Protein structure prediction using deep learning potentials

PLoS computational biology

Robin Pearce

Yang Li

Gilbert S Omenn

Yang Zhang

2022/9/16

DEMO2: Assemble multi-domain protein structures by coupling analogous template alignments with deep-learning inter-domain restraint prediction

Nucleic Acids Research

Xiaogen Zhou

Chunxiang Peng

Wei Zheng

Yang Li

Guijun Zhang

...

2022/7/5

LOMETS3: Integrating deep learning and profile alignment for advanced protein template recognition and function annotation

Nucleic acids research

Wei Zheng

Qiqige Wuyun

Xiaogen Zhou

Yang Li

Peter L Freddolino

...

2022/7/5

Deep learning geometrical potential for high-accuracy ab initio protein structure prediction

Iscience

Yang Li

Chengxin Zhang

Dong-Jun Yu

Yang Zhang

2022/6/17

Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks

PLoS computational biology

Yang Li

Chengxin Zhang

Eric W Bell

Wei Zheng

Xiaogen Zhou

...

2021/3/26

Protein inter‐residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14

Proteins: Structure, Function, and Bioinformatics

Yang Li

Chengxin Zhang

Wei Zheng

Xiaogen Zhou

Eric W Bell

...

2021/12

Protein structure prediction using deep learning distance and hydrogen‐bonding restraints in CASP14

Proteins: Structure, Function, and Bioinformatics

Wei Zheng

Yang Li

Chengxin Zhang

Xiaogen Zhou

Robin Pearce

...

2021/7/30

Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions

Nature communications

SM Mortuza

Wei Zheng

Chengxin Zhang

Yang Li

Robin Pearce

...

2021/8/18

Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations

Cell reports methods

Wei Zheng

Chengxin Zhang

Yang Li

Robin Pearce

Eric W Bell

...

2021/7/26

FUpred: detecting protein domains through deep-learning-based contact map prediction

Bioinformatics

Wei Zheng

Xiaogen Zhou

Qiqige Wuyun

Robin Pearce

Yang Li

...

2020/6/15

SSCpred: single-sequence-based protein contact prediction using deep fully convolutional network

Journal of chemical information and modeling

Ming-Cai Chen

Yang Li

Yi-Heng Zhu

Fang Ge

Dong-Jun Yu

2020/4/27

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

Bioinformatics

Chengxin Zhang

Wei Zheng

SM Mortuza

Yang Li

Yang Zhang

2020/4/1

See List of Professors in Yang Li University(University of Michigan)

Co-Authors

H-index: 86
Yang Zhang

Yang Zhang

University of Michigan-Dearborn

H-index: 37
Dong-Jun Yu

Dong-Jun Yu

Nanjing University of Science and Technology

H-index: 27
Chengxin Zhang

Chengxin Zhang

University of Michigan-Dearborn

H-index: 19
Robin Pearce

Robin Pearce

University of Michigan

academic-engine