Qianyi Cheng

University Of Memphis

$1,309,837

Attributed

$1,309,837

Total exposure

Grants

Lead (contact PI)

Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants. They are the sole PI on all grants (the two match).

Funding over time

peak $327.6K · FY2022–25

$500K$375K$250K$125K$0

'22

'23

'24

'25

Funding mix

By agency

NIH$1,309,837 · 1

By mechanism

R35$1,309,837 · 1

Top collaborators

No co-investigators on record.

Most similar at University Of Memphis

Same institution · by research overlap

Others in their field

Other Rising Stars on “Antibiotic Design”

Robert Pease Smith · Tufts University Boston$3,652,652
Nathaniel James Rhodes · Midwestern University$3,151,448
Charles C. McOsker · Clarametyx Bioscience, Inc.$3,145,522
Justin Blaine Schaal · University Of Southern California$3,025,760
Zackery P. Bulman · University Of Illinois At Chicago$2,351,831
Edmund L Ellsworth · Michigan State University$2,242,709

Research focus

Antibiotic DesignAromatic Amino AcidsArtificial IntelligenceBacteriaBiochemical ReactionBiomedical EngineeringCase StudyChorismate MutaseCommunitiesComputer ModelsComputing MethodologiesCytochrome P450Data FormatData MiningDrug DesignDrug DiscoveryDrug MetabolismEnzyme ModelEnzymesEnzyme StructureFutureInnovationInsightMachine Learning

Grant awards (4)

Data Mining and Machine Learning Guided QM/MM and QM-Cluster Modeling of Enzymatic Reactions$327,397

R35 · FY2025 · GM · contact PI

Data Mining and Machine Learning Guided QM/MM and QM-Cluster Modeling of Enzymatic Reactions$327,397

R35 · FY2024 · GM · contact PI

Data Mining and Machine Learning Guided QM/MM and QM-Cluster Modeling of Enzymatic Reactions$327,397

R35 · FY2023 · GM · contact PI

Data Mining and Machine Learning Guided QM/MM and QM-Cluster Modeling of Enzymatic Reactions$327,646

R35 · FY2022 · GM · contact PI