What is he best known for?
The fields of study he is best known for:
Threading, Protein structure, Protein structure prediction, Algorithm and Template are his primary areas of study.
His research in Threading intersects with topics in Protein tertiary structure, Data mining, Enzyme Commission number, Artificial intelligence and Computational biology.
His Data mining research is multidisciplinary, incorporating elements of Protein structure database, Structural genomics, I tasser and Sequence alignment.
His Enzyme Commission number research is multidisciplinary, incorporating perspectives in Cofactor, Systems biology, Structural biology, Protein structure and function and Protein engineering.
Yang Zhang combines subjects such as Crystallography, Force field, Protein Data Bank and Protein folding with his study of Protein structure.
His Protein structure prediction study incorporates themes from Bioinformatics, Structural alignment, Protein Data Bank and Root-mean-square deviation.
His most cited work include:
- I-TASSER: a unified platform for automated protein structure and function prediction (4245 citations)
- I-TASSER: a unified platform for automated protein structure and function prediction (4245 citations)
- I-TASSER server for protein 3D structure prediction. (3671 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Protein structure, Protein structure prediction, Computational biology, Threading and Algorithm.
His Protein structure research incorporates themes from Crystallography, Biological system, Binding site and Protein folding.
In his study, Computational chemistry is inextricably linked to Ab initio, which falls within the broad field of Protein structure prediction.
His Computational biology study integrates concerns from other disciplines, such as Genetics, Protein design, Genome, Peptide sequence and Protein engineering.
The various areas that he examines in his Threading study include Homology modeling, Protein tertiary structure, Data mining and Protein Data Bank.
His Structural alignment study necessitates a more in-depth grasp of Sequence alignment.
He most often published in these fields:
- Protein structure (25.53%)
- Protein structure prediction (24.74%)
- Computational biology (25.53%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (25.53%)
- Protein structure prediction (24.74%)
- Protein structure (25.53%)
In recent papers he was focusing on the following fields of study:
Yang Zhang mainly investigates Computational biology, Protein structure prediction, Protein structure, Cell biology and Genome.
His Computational biology research includes themes of G protein-coupled receptor, Annotation, Function, Peptide sequence and Gene ontology.
His studies in Protein structure prediction integrate themes in fields like Algorithm, Monte Carlo method and Artificial intelligence.
Yang Zhang has researched Protein structure in several fields, including UniProt, Protein folding, Biological system, Protein Data Bank and Protein sequencing.
The Genome study combines topics in areas such as Structural biology, RNA editing and Database.
In his works, Yang Zhang undertakes multidisciplinary study on Template and Threading.
Between 2018 and 2021, his most popular works were:
- Protein Structure and Sequence Reanalysis of 2019-nCoV Genome Refutes Snakes as Its Intermediate Host and the Unique Similarity between Its Spike Protein Insertions and HIV-1. (120 citations)
- Database Resources of the National Genomics Data Center in 2020 (91 citations)
- Database Resources of the BIG Data Center in 2019 (89 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Computational biology, Protein structure prediction, Genome, Genomics and Gene.
His Computational biology research incorporates elements of Peptide, Antiviral drug and Function.
Yang Zhang incorporates Protein structure prediction and Template in his research.
His Template research spans across into areas like Threading, Protein structure and Artificial intelligence.
His Threading research includes elements of Multiple sequence alignment and Protein Data Bank.
Yang Zhang interconnects Structural biology, Protein tertiary structure and Protein folding in the investigation of issues within Protein structure.
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