← Leaderboards
Natarajan Kannan
University Of Georgia
$6,539,795
Attributed
$11,010,394
Total exposure
6
Grants
4
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.
Funding over time
peak $2M · FY2015–25$2.5M$1.9M$1.3M$625K$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$11,010,394 · 6
By mechanism
R01$6,525,365 · 3
U01$2,315,397 · 2
R35$2,169,632 · 1
Top collaborators
- Wei Lu4 shared
- Kelley W. Moremen4 shared
- Walter K Schmidt4 shared
- Lance Wells4 shared
- Zachary Arthur Wood4 shared
- Krzysztof J Kochut3 shared
Others in their field
Top investigators on “Proteins”
- David Heimbrook · Leidos Biomedical Research, Inc.$354,061,551
- Randall J Bateman · Washington University$187,292,085
- Paul S. Aisen · Cognition Therapeutics, Inc.$175,382,342
- Reisa A. Sperling · Banner Health$145,046,481
- Barton F Haynes · Duke University$136,029,850
- Joseph L Goldstein · University Of Texas Sw Med Ctr/Dallas$102,433,280
Research focus
ProteinsStructureComplexPhosphotransferasesMachine LearningMalignant NeoplasmsDrug DiscoveryMutationSignal TransductionHuman DiseaseRegulationBiochemicalBaseResourcesSiteAllosteric SiteProtein KinasePersonalized MedicinePathway InteractionsNamesIn VitroGenomeMiningOrganism
Grant awards (28)
Unlocking sequence-structure-function-disease relationships in large protein super-families$462,060
R35 · FY2025 · GM · contact PI
Unlocking sequence-structure-function-disease relationships in large protein super-families$462,060
R35 · FY2024 · GM · contact PI
Annotating dark ion-channel functions using evolutionary features, machine learning and knowledge graph mining$476,990
U01 · FY2023 · CA · contact PI
Unlocking sequence-structure-function-disease relationships in large protein super-families$444,318
R35 · FY2023 · GM · contact PI
Unlocking sequence-structure-function-disease relationships in large protein super-families$137,650
R35 · FY2023 · GM · contact PI
Annotating dark ion-channel functions using evolutionary features, machine learning and knowledge graph mining (Kennady Boyd)$9,060
U01 · FY2023 · CA · contact PI
Annotating dark ion-channel functions using evolutionary features, machine learning and knowledge graph mining (Rayna Carter)$9,060
U01 · FY2023 · CA · contact PI
Origin of N-Glycan Site-Specific Heterogeneity$845,521
R01 · FY2022 · GM
Annotating dark ion-channel functions using evolutionary features, machine learning and knowledge graph mining$477,903
U01 · FY2022 · CA · contact PI
Determining the scope of prenylatable protein sequences$386,716
R01 · FY2022 · GM
Unlocking sequence-structure-function-disease relationships in large protein super-families$305,775
R35 · FY2022 · GM · contact PI
Origin of N-Glycan Site-Specific Heterogeneity$845,521
R01 · FY2021 · GM
A data analytics framework for mining the dark kinome$450,215
U01 · FY2021 · CA · contact PI
Determining the scope of prenylatable protein sequences$388,631
R01 · FY2021 · GM
Unlocking sequence-structure-function-disease relationships in large protein super-families$357,769
R35 · FY2021 · GM · contact PI
Origin of N-Glycan Site-Specific Heterogeneity$845,521
R01 · FY2020 · GM
A data analytics framework for mining the dark kinome$438,510
U01 · FY2020 · CA · contact PI
Determining the scope of prenylatable protein sequences$390,494
R01 · FY2020 · GM
Functional Annotation of Natural and Disease Variants in Tryosine Kinases$9,815
R01 · FY2020 · GM · contact PI
Origin of N-Glycan Site-Specific Heterogeneity$833,375
R01 · FY2019 · GM
A data analytics framework for mining the dark kinome$453,659
U01 · FY2019 · CA · contact PI
Determining the scope of prenylatable protein sequences$405,053
R01 · FY2019 · GM
Functional Annotation of Natural and Disease Variants in Tryosine Kinases$300,000
R01 · FY2019 · GM · contact PI
Functional Annotation of Natural and Disease Variants in Tryosine Kinases$300,000
R01 · FY2018 · GM · contact PI
Functional Annotation of Natural and Disease Variants in Tryosine Kinases$74,718
R01 · FY2018 · GM · contact PI
Functional Annotation of Natural and Disease Variants in Tryosine Kinases$300,000
R01 · FY2017 · GM · contact PI
Functional Annotation of Natural and Disease Variants in Tryosine Kinases$300,000
R01 · FY2016 · GM · contact PI
Functional Annotation of Natural and Disease Variants in Tryosine Kinases$300,000
R01 · FY2015 · GM · contact PI