← Leaderboards
John Karanicolas
Research Inst Of Fox Chase Can Ctr
$6,668,157
Attributed
$6,668,157
Total exposure
8
Grants
7
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 $962.1K · FY2011–24$1M$750K$500K$250K$0
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
Funding mix
By agency
NIH$6,668,157 · 8
By mechanism
R01$5,760,940 · 4
U54$804,398 · 2
P30$87,394 · 1
P41$15,425 · 1
Top collaborators
No co-investigators on record.
Most similar at Research Inst Of Fox Chase Can Ctr
Same institution · by research overlap
- Lori Rink$4,773,698
- Jordan Mossler Anaokar$92,150
- Namrata Vijayvergia$306,731
- Erica A Golemis$12,682,758
Others in their field
Top investigators on “Malignant Neoplasms”
- David Heimbrook · Leidos Biomedical Research, Inc.$1,074,554,219
- Leonard Freedman · Leidos Biomedical Research, Inc.$527,106,485
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$357,875,933
- Richard K. Wilson · Washington University$274,272,747
- Larry Arthur$223,443,122
- Lynn Briscoe · Leidos Biomedical Research, Inc.$186,892,879
Research focus
Malignant NeoplasmsProteinsBiochemicalStructureLibrariesComplexMolecular ConformationIn VitroDesignScreeningBindingBaseComputer SimulationMembrane ProteinsScaffoldComputing MethodologiesResearch PersonnelInhibitor/AntagonistMutationCellsComplementSmall MoleculeInterestShapes
Grant awards (23)
Refolding Mutant p53: A Strategy for Cancer Prevention in Li-Fraumeni Syndrome$391,886
U54 · FY2024 · CA · contact PI
Designing selective kinase inhibitors via deep learning$549,557
R01 · FY2023 · GM · contact PI
Designing selective kinase inhibitors via deep learning$181,277
R01 · FY2023 · GM · contact PI
Designing selective kinase inhibitors via deep learning$549,557
R01 · FY2022 · GM · contact PI
Refolding Mutant p53: A Strategy for Cancer Prevention in Li-Fraumeni Syndrome$412,512
U54 · FY2022 · CA · contact PI
Robust rational design of chemical tools to inhibit RNA-binding proteins$357,960
R01 · FY2020 · GM · contact PI
Robust Rational Design of Chemical Tools to Inhibit RNA-binding Proteins$39,187
R01 · FY2020 · GM · contact PI
Robust rational design of chemical tools to inhibit RNA-binding proteins$357,960
R01 · FY2019 · GM · contact PI
Identifying stabilizers of p53 using pocket complementarity$348,793
R01 · FY2019 · GM · contact PI
Robust rational design of chemical tools to inhibit RNA-binding proteins$356,141
R01 · FY2018 · GM · contact PI
Identifying stabilizers of p53 using pocket complementarity$345,871
R01 · FY2018 · GM · contact PI
Identifying stabilizers of p53 using pocket complementarity$200,000
R01 · FY2018 · GM · contact PI
Robust rational design of chemical tools to inhibit RNA-binding proteins$356,141
R01 · FY2017 · GM · contact PI
Identifying stabilizers of p53 using pocket complementarity$350,136
R01 · FY2017 · GM · contact PI
Identifying stabilizers of p53 using pocket complementarity$348,458
R01 · FY2016 · GM · contact PI
Identifying inhibitors of protein interactions using pocket optimization$252,287
R01 · FY2016 · GM · contact PI
Identifying inhibitors of protein interactions using pocket optimization$69,637
R01 · FY2016 · GM · contact PI
Identifying inhibitors of protein interactions using pocket optimization$277,075
R01 · FY2015 · GM · contact PI
Identifying inhibitors of protein interactions using pocket optimization$277,449
R01 · FY2014 · GM · contact PI
Identifying inhibitors of protein interactions using pocket optimization$267,408
R01 · FY2013 · GM · contact PI
Identifying inhibitors of protein interactions using pocket optimization$276,046
R01 · FY2012 · GM · contact PI
IDENTIFYING MC1-1 INHIBITORS USING POCKET SHAPE OPTIMIZATION$87,394
P30 · FY2011 · RR · contact PI
SIMPLIFIED MODELS FOR PROTEIN FOLDING KINETICS &THERMODYNAMICS &MECHANISM$15,425
P41 · FY2004 · RR