← Leaderboards
Predrag Radivojac
Trustees Of Indiana University
$6,524,740
Attributed
$8,127,240
Total exposure
7
Grants
5
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 $1.1M · FY2008–25$2M$1.5M$1M$500K$0
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$8,127,240 · 7
By mechanism
R01$5,231,268 · 4
U01$2,870,972 · 1
R13$25,000 · 2
Top collaborators
- David M. Haas3 shared
- Lilia M Iakoucheva3 shared
- Sriraam Natarajan3 shared
Most similar at Trustees Of Indiana University
Same institution · by research overlap
- Andreas Matouschek$7,050,356
- Yuzhen Ye$3,237,743
- Way Sung$102,496
- Kelsey Kathleen Wiggs$78,134
Others in their field
Top investigators on “Research Personnel”
- David Heimbrook · Leidos Biomedical Research, Inc.$701,463,488
- Sonia M Thomas · Research Triangle Institute$700,865,642
- Leonard Freedman · Leidos Biomedical Research, Inc.$557,978,666
- Tracy L Nolen · Research Triangle Institute$474,487,152
- David R. Weir · University Of Michigan At Ann Arbor$364,053,504
- Judith S. Currier · University Of California Los Angeles$284,675,012
Research focus
Research PersonnelData SetTissuesTrainingUniversitiesMachine LearningCommunitiesAreaMolecularInsightResearch StudyModel DevelopmentLearningComputing MethodologiesAlgorithmsProteinsComplexSiteDesignMethodologyTechnologyProteomicsBaseMolecular Biology
Grant awards (20)
Supporting IGVF by modeling genetics, function, and phenotype with machine learning$622,328
U01 · FY2025 · HG · contact PI
Supporting IGVF by modeling genetics, function, and phenotype with machine learning$622,326
U01 · FY2024 · HG · contact PI
Supporting IGVF by modeling genetics, function, and phenotype with machine learning$635,027
U01 · FY2023 · HG · contact PI
Supporting IGVF by modeling genetics, function, and phenotype with machine learning$635,027
U01 · FY2022 · HG · contact PI
Machine learning approaches towards risk assessment and prediction of adverse pregnancy outcomes$437,217
R01 · FY2022 · HD
Machine learning approaches towards risk assessment and prediction of adverse pregnancy outcomes$437,901
R01 · FY2021 · HD
Supporting IGVF by modeling genetics, function, and phenotype with machine learning$356,264
U01 · FY2021 · HG · contact PI
Machine learning approaches towards risk assessment and prediction of adverse pregnancy outcomes$481,588
R01 · FY2020 · HD
A computational framework for predicting the impact of mutations in autism$431,352
R01 · FY2016 · MH
A computational framework for predicting the impact of mutations in autism$431,352
R01 · FY2015 · MH
Computational approaches to protein identification and quantification using MS/MS$411,329
R01 · FY2015 · GM · contact PI
A computational framework for predicting the impact of mutations in autism$533,354
R01 · FY2014 · MH
Computational approaches to protein identification and quantification using MS/MS$411,329
R01 · FY2014 · GM · contact PI
Automated Function Prediction (AFP 2014)$5,000
R13 · FY2014 · HG · contact PI
Computational approaches to protein identification and quantification using MS/MS$396,933
R01 · FY2013 · GM · contact PI
Computational approaches to protein identification and quantification using MS/MS$448,534
R01 · FY2012 · GM · contact PI
Automated Function Prediction (AFP 2011)$20,000
R13 · FY2011 · HG · contact PI
Computational approaches to protein identification and quantification using MS/MS$273,971
R01 · FY2010 · RR · contact PI
Computational approaches to protein identification and quantification using MS/MS$268,677
R01 · FY2009 · RR · contact PI
Computational approaches to protein identification and quantification using MS/MS$267,731
R01 · FY2008 · RR · contact PI