Mona Singh

Affiliations: 
Computer Science Princeton University, Princeton, NJ 
Area:
Computational molecular biology, as well as its interface with machine learning and algorithms.
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"Mona Singh"

Parents

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Ronald L. Rivest grad student 1989-1995 MIT
Bonnie Berger grad student 1990-1995 MIT (Computational Biology Tree)

Children

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Carlton Kingsford grad student Princeton (Neurotree)
Jessica H. Fong grad student 2005 Princeton
Carleton L. Kingsford grad student 2005 Princeton
Robert R. Osada grad student 2006 Princeton
Elena Zaslavsky grad student 2006 Princeton
Eric Banks grad student 2009 Princeton
John A. Capra grad student 2009 Princeton
Jimin Song grad student 2012 Princeton
Jesse Farnham grad student 2013 Princeton
Alex Ochoa grad student 2013 Princeton
Yury Pritykin grad student 2014 Princeton
Shilpa N. Kobren grad student 2018 Princeton
Daniel Munro grad student 2014-2018 Princeton (Computational Biology Tree)
Joshua L. Wetzel grad student 2019 Princeton
Jose A. Zamalloa grad student 2019 Princeton
Sean B. King grad student 2021 Princeton
Anat Etzion-Fuchs grad student 2022 Princeton
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Publications

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King SB, Singh M. (2023) Primate protein-ligand interfaces exhibit significant conservation and unveil human-specific evolutionary drivers. Plos Computational Biology. 19: e1010966
Wetzel JL, Zhang K, Singh M. (2022) Learning probabilistic protein-DNA recognition codes from DNA-binding specificities using structural mappings. Genome Research
King SB, Singh M. (2021) Comparative genomic analysis reveals varying levels of mammalian adaptation to coronavirus infections. Plos Computational Biology. 17: e1009560
Etzion-Fuchs A, Todd DA, Singh M. (2021) dSPRINT: predicting DNA, RNA, ion, peptide and small molecule interaction sites within protein domains. Nucleic Acids Research
Marmion RA, Yang L, Goyal Y, et al. (2021) Molecular mechanisms underlying cellular effects of human MEK1 mutations. Molecular Biology of the Cell. mbcE20100625
Munro D, Singh M. (2020) DeMaSk: a deep mutational scanning substitution matrix and its use for variant impact prediction. Bioinformatics (Oxford, England)
Kobren SN, Chazelle B, Singh M. (2020) PertInInt: An Integrative, Analytical Approach to Rapidly Uncover Cancer Driver Genes with Perturbed Interactions and Functionalities. Cell Systems. 11: 63-74.e7
Hristov BH, Chazelle B, Singh M. (2020) uKIN Combines New and Prior Information with Guided Network Propagation to Accurately Identify Disease Genes. Cell Systems. 10: 470-479.e3
Wetzel JL, Singh M. (2019) Sharing DNA-binding information across structurally similar proteins enables accurate specificity determination. Nucleic Acids Research
Kobren SN, Singh M. (2018) Systematic domain-based aggregation of protein structures highlights DNA-, RNA- and other ligand-binding positions. Nucleic Acids Research
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