← Leaderboards
Ajay N Jain
University Of California San Francisco
$7,260,163
Attributed
$7,260,163
Total exposure
3
Grants
3
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 $786.6K · FY2005–20$1M$750K$500K$250K$0
'05
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
Funding mix
By agency
NIH$7,260,163 · 3
By mechanism
R01$4,970,194 · 2
P30$2,289,969 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California San Francisco
Same institution · by research overlap
- Christopher Benz$17,978,842
- Warner C Greene$31,742,202
- Carl Grunfeld$20,784,045
- Mark A Jacobson$6,824,928
- Ruth Martha Greenblatt$14,541,651
Others in their field
Top investigators on “Base”
- Sonia M Thomas · Research Triangle Institute$700,865,642
- David Heimbrook · Leidos Biomedical Research, Inc.$613,567,095
- David Divins · Consortium For Ocean Leadership, Inc$609,772,544
- Larry Arthur$521,411,998
- Leonard Freedman · Leidos Biomedical Research, Inc.$515,995,429
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$507,042,060
Research focus
BaseMolecularDockingLigandsSmall MoleculeBinding SitesPredictive ModelingProteinsDesignResearch PersonnelMachine LearningData SetQuantitative Structure-Activity RelationshipLigand BindingDrug DiscoveryPharmaceutical PreparationsStructureInterestAffinityNovel StrategiesMolecular ConformationVirtualBinding (Molecular Function)Complex
Grant awards (23)
Binding-Site Modeling with Multiple-Instance Machine-Learning$310,202
R01 · FY2020 · GM · contact PI
Binding-Site Modeling with Multiple-Instance Machine-Learning$310,202
R01 · FY2019 · GM · contact PI
Binding-Site Modeling with Multiple-Instance Machine-Learning$310,202
R01 · FY2018 · GM · contact PI
Binding-Site Modeling with Multiple-Instance Machine-Learning$310,202
R01 · FY2017 · GM · contact PI
Binding-Site Modeling with Multiple-Instance Machine-Learning$301,150
R01 · FY2016 · GM · contact PI
Binding-Site Modeling with Multiple-Instance Machine-Learning$300,675
R01 · FY2015 · GM · contact PI
Binding-Site Modeling with Multiple-Instance Machine-Learning$299,250
R01 · FY2014 · GM · contact PI
Data-Driven Approaches for Molecular Docking$295,918
R01 · FY2013 · GM · contact PI
Binding-Site Modeling with Multiple-Instance Machine-Learning$291,402
R01 · FY2013 · GM · contact PI
Data-Driven Approaches for Molecular Docking$307,013
R01 · FY2012 · GM · contact PI
INFORMATICS$479,282
P30 · FY2011 · CA · contact PI
Data-Driven Approaches for Molecular Docking$307,363
R01 · FY2011 · GM · contact PI
INFORMATICS$472,465
P30 · FY2010 · CA · contact PI
Data-Driven Approaches for Molecular Docking$306,719
R01 · FY2010 · GM · contact PI
INFORMATICS$467,677
P30 · FY2009 · CA · contact PI
Machine Learning in Chemistry and Biology$235,562
R01 · FY2009 · GM · contact PI
INFORMATICS$471,301
P30 · FY2008 · CA · contact PI
Machine Learning in Chemistry and Biology$265,474
R01 · FY2008 · GM · contact PI
INFORMATICS$399,244
P30 · FY2007 · CA · contact PI
Machine Learning in Chemistry and Biology$265,474
R01 · FY2007 · GM · contact PI
Machine Learning in Chemistry and Biology$273,403
R01 · FY2006 · GM · contact PI
Machine Learning in Chemistry and Biology$279,983
R01 · FY2005 · GM
Core--Informatics facility$0
P30 · FY2002 · CA