Yang Zhang

Yang Zhang

University of Michigan

H-index: 86

North America-United States

About Yang Zhang

Yang Zhang, With an exceptional h-index of 86 and a recent h-index of 65 (since 2020), a distinguished researcher at University of Michigan,

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 deep learning, threading alignments, and a multi‐MSA strategy for high‐quality protein monomer and complex structure prediction in CASP15

De novo protein fold design through sequence-independent fragment assembly simulations

BioLiP2: an updated structure database for biologically relevant ligand–protein interactions

ModelCIF: An extension of PDBx/mmCIF data representation for computed structure models

rMSA: a sequence search and alignment algorithm to improve RNA structure modeling

From Protein Sequence to Structure: The Next Frontier in Cross‐Species Extrapolation for Chemical Safety Evaluations

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

Yang Zhang Information

University

Position

___

Citations(all)

52959

Citations(since 2020)

27515

Cited By

36531

hIndex(all)

86

hIndex(since 2020)

65

i10Index(all)

221

i10Index(since 2020)

184

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Top articles of Yang Zhang

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 deep learning, threading alignments, and a multi‐MSA strategy for high‐quality protein monomer and complex structure prediction in CASP15

Proteins: Structure, Function, and Bioinformatics

Wei Zheng

Qiqige Wuyun

Peter L Freddolino

Yang Zhang

2023/8/31

De novo protein fold design through sequence-independent fragment assembly simulations

Proceedings of the National Academy of Sciences

Robin Pearce

Xiaoqiang Huang

Gilbert S Omenn

Yang Zhang

2023/1/24

BioLiP2: an updated structure database for biologically relevant ligand–protein interactions

Nucleic Acids Research

Chengxin Zhang

Xi Zhang

Peter L Freddolino

Yang Zhang

2024/1/5

ModelCIF: An extension of PDBx/mmCIF data representation for computed structure models

Journal of Molecular Biology

Brinda Vallat

Gerardo Tauriello

Stefan Bienert

Juergen Haas

Benjamin M Webb

...

2023/7/15

rMSA: a sequence search and alignment algorithm to improve RNA structure modeling

Journal of Molecular Biology

Chengxin Zhang

Yang Zhang

Anna Marie Pyle

2023/7/15

From Protein Sequence to Structure: The Next Frontier in Cross‐Species Extrapolation for Chemical Safety Evaluations

Environmental Toxicology and Chemistry

Carlie A LaLone

Donovan J Blatz

Marissa A Jensen

Sara MF Vliet

Sally Mayasich

...

2023/2

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

GPU-I-TASSER: a GPU accelerated I-TASSER protein structure prediction tool

Bioinformatics

Elijah A MacCarthy

Chengxin Zhang

Yang Zhang

Dukka B Kc

2022/3/15

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

Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction

PLOS Computational Biology

Yi-Heng Zhu

Chengxin Zhang

Dong-Jun Yu

Yang Zhang

2022/12/22

CR-I-TASSER: assemble protein structures from cryo-EM density maps using deep convolutional neural networks

Nature Methods

Xi Zhang

Biao Zhang

Peter L Freddolino

Yang Zhang

2022/2/7

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

US-align: universal structure alignments of proteins, nucleic acids, and macromolecular complexes

Nature Methods

Chengxin Zhang

Morgan Shine

Anna Marie Pyle

Yang Zhang

2022

PEPPI: Whole-proteome protein-protein interaction prediction through structure and sequence similarity, functional association, and machine learning

Journal of Molecular Biology

Eric W Bell

Jacob H Schwartz

Peter L Freddolino

Yang Zhang

2022/3/5

De Novo RNA Tertiary Structure Prediction at Atomic Resolution Using Geometric Potentials from Deep Learning

BioRxiv

Robin Pearce

Gilbert S Omenn

Yang Zhang

2022/5/15

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

RTL8 promotes nuclear localization of UBQLN2 to subnuclear compartments associated with protein quality control

Cellular and Molecular Life Sciences

Harihar Milaganur Mohan

Hanna Trzeciakiewicz

Amit Pithadia

Emily V Crowley

Regina Pacitto

...

2022/3

Integrating transcript expression profiles with protein homology inferences for gene function prediction

Genomics, Proteomics & Bioinformatics

Yi-Heng Zhu

Chengxin Zhang

Yan Liu

Gilbert S Omenn

Peter L Freddolino

...

2022/5/11

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

Co-Authors

H-index: 95
Jeffrey Skolnick

Jeffrey Skolnick

Georgia Institute of Technology

H-index: 67
Andrzej Kolinski

Andrzej Kolinski

Uniwersytet Warszawski

H-index: 36
Jianyi Yang

Jianyi Yang

Nankai University

H-index: 27
Chengxin Zhang

Chengxin Zhang

University of Michigan-Dearborn

H-index: 20
Yang Li

Yang Li

University of Michigan-Dearborn

academic-engine