VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants is a research paper published in Briefings in Bioinformatics (2022). On theSindex it has a DataRank of 0. It has been cited 27 times.
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Provincial Natural Science Foundation of Anhui
Grant: 2108085QF268
Natural Science Foundation of Anhui Province of China
Grant: KJ2018A0572
Monash University, Taif University Researchers
Grant: TURSP-2020/280
National Institute of Allergy and Infectious Diseases of the National Institutes of Health
Grant: R01 AI111965
Australian Research Council
Grant: DP120104460
Stochastic modelling of telomere length regulation in ageing research
Australian Research Council
Grant: LP110200333
Characterisation of plant cysteine proteases with therapeutic potential
National Health and Medical Research Council of Australia
Grant: 1127948
An integrated virtual cell approach towards elucidating the systems pharmacology of antibiotics against Pseudomonas aeruginosa
National Health and Medical Research Council of Australia
Grant: 1144652
Integrative systems pharmacology, neutron reflectometry and molecular dynamics approaches to unravelling the interactions between polymyxins and bacterial membranes
Foundation of National Defense Key Laboratory of Science and Technology
Grant: JZX7Y202001SY000901
Natural Science Foundation of Jiangsu
Grant: BK20201304
National Natural Science Foundation of China
Grant: 61872186
National Natural Science Foundation of China
Grant: 61772273
National Natural Science Foundation of China
Grant: 62072243
National Institutes of Health
Grant: 5R01AI111965-04
New Tricks for 'Old' Drugs: PK/PD of Polymyxin Nonantibiotic Combinations
FWCI
5.48
Citation Percentile
1.0%
Citation Trend
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Sustainable Development Goals