What is he best known for?
The fields of study he is best known for:
- Enzyme
- Gene
- Organic chemistry
Hualiang Jiang mainly focuses on Biochemistry, Stereochemistry, Protein structure, Virtual screening and Drug discovery.
His studies deal with areas such as Biophysics and Cell biology as well as Biochemistry.
As part of one scientific family, Hualiang Jiang deals mainly with the area of Stereochemistry, narrowing it down to issues related to the Binding site, and often Ligand and Plasma protein binding.
His Protein structure research also works with subjects such as
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Active site that connect with fields like Torpedo and Neuraminidase,
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Molecular dynamics together with Crystallography.
His research on Virtual screening also deals with topics like
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Computational biology which is related to area like DOCK, Drug and Bioinformatics,
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Combinatorial chemistry together with Catalysis and Regioselectivity.
Hualiang Jiang interconnects In silico and Pharmacology in the investigation of issues within Drug discovery.
His most cited work include:
- Structure of M pro from SARS-CoV-2 and discovery of its inhibitors. (1031 citations)
- Structure of M pro from SARS-CoV-2 and discovery of its inhibitors. (1031 citations)
- Predicting protein-protein interactions based only on sequences information. (599 citations)
What are the main themes of his work throughout his whole career to date?
Hualiang Jiang mainly investigates Stereochemistry, Biochemistry, Combinatorial chemistry, Organic chemistry and Virtual screening.
His research investigates the connection between Stereochemistry and topics such as Binding site that intersect with problems in Docking.
His Biochemistry study typically links adjacent topics like Biophysics.
The concepts of his Biophysics study are interwoven with issues in Protein structure and Molecular dynamics.
Hualiang Jiang works mostly in the field of Combinatorial chemistry, limiting it down to topics relating to Catalysis and, in certain cases, Aryl.
In his research on the topic of Virtual screening, Computational biology is strongly related with Drug discovery.
He most often published in these fields:
- Stereochemistry (30.98%)
- Biochemistry (29.26%)
- Combinatorial chemistry (15.22%)
What were the highlights of his more recent work (between 2018-2021)?
- Drug (7.70%)
- Artificial intelligence (5.62%)
- Computational biology (8.15%)
In recent papers he was focusing on the following fields of study:
Drug, Artificial intelligence, Computational biology, Drug discovery and Cell biology are his primary areas of study.
His Drug study integrates concerns from other disciplines, such as Xenobiotic, Protease and Viral replication.
His research on Protease often connects related topics like Pharmacology.
As a part of the same scientific family, Hualiang Jiang mostly works in the field of Viral replication, focusing on Antiviral drug and, on occasion, Cell, Peptidomimetic, IC50 and Biochemistry.
His work deals with themes such as Virtual screening, Drug metabolism, Metabolism, Disease and Biotransformation, which intersect with Computational biology.
His Virtual screening study is concerned with Docking in general.
Between 2018 and 2021, his most popular works were:
- Structure of M pro from SARS-CoV-2 and discovery of its inhibitors. (1031 citations)
- Structure of M pro from SARS-CoV-2 and discovery of its inhibitors. (1031 citations)
- Structural basis for inhibition of the RNA-dependent RNA polymerase from SARS-CoV-2 by remdesivir. (385 citations)
In his most recent research, the most cited papers focused on:
- Enzyme
- Gene
- Organic chemistry
His primary areas of investigation include Protease, Drug discovery, Artificial intelligence, Machine learning and Pharmacology.
Hualiang Jiang has researched Protease in several fields, including Cell, Baicalein, Viral replication and Active site.
His Viral replication research integrates issues from Viral protein and Antiviral drug, Drug.
His Drug discovery study combines topics from a wide range of disciplines, such as FGFR Inhibition, Chemical biology, Tumor growth inhibition, Peptide sequence and Structure–activity relationship.
His Pharmacology study incorporates themes from Inflammation, Proinflammatory cytokine and In vivo.
Biochemistry covers Hualiang Jiang research in Enzyme.
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