Chenghua Shao

Assistant Research Professor

Rutgers University

United States

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Chenghua Shao is an Assistant Research Professor at Rutgers The State University of New Jersey. His research focuses on structural biology, with recent contributions to the RCSB Protein Data Bank, including advancements in tools for visualizing and understanding biological macromolecules in 3D. He has also addressed the confidence assessment of macromolecular crystal structures and the representation of carbohydrate molecules within the Protein Data Bank.

Articles (10)

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (4)

Brian Hudson

Senior Biocurator / Assistant Research Professor

UNITED STATES

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Paul Craig

Professor

Rochester Institute of Technology

UNITED STATES

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Stephen K. Burley

University Professor and Henry Rutgers Chair/Director-Proteomics/Founding Director-Institute for Quantitative Biomedicine

Rutgers University

UNITED STATES

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Christine Zardecki

UNITED STATES

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Chenghua Shao

Research Interests

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Articles (10)

RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning

RCSB Protein Data bank: Tools for visualizing and understanding biological macromolecules in 3D.

Protein Data Bank: A Comprehensive Review of 3D Structure Holdings and Worldwide Utilization by Researchers, Educators, and Students.

Assessing PDB macromolecular crystal structure confidence at the individual amino acid residue level.

PDBx/mmCIF Ecosystem: Foundational Semantic Tools for Structural Biology.

Simplified quality assessment for small-molecule ligands in the Protein Data Bank.

RCSB Protein Data Bank: Celebrating 50 years of the PDB with new tools for understanding and visualizing biological macromolecules in 3D.

RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences.

Modernized uniform representation of carbohydrate molecules in the Protein Data Bank.

D3R grand challenge 4: blind prediction of protein-ligand poses, affinity rankings, and relative binding free energies.

Collaborators (4)

Brian Hudson

Paul Craig

Stephen K. Burley

Christine Zardecki

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