Yanay Ofran, Ph.D.
Affiliations: | 2004 | Columbia University, New York, NY |
Area:
General Biophysics, Molecular BiologyGoogle:
"Yanay Ofran"Parents
Sign in to add mentor| Burkhard Rost | grad student | 2004 | Columbia | |
| (Analysis and prediction of contacting residues in protein -protein interfaces.) | ||||
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Publications
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| Geffen Y, Ofran Y, Unger R. (2022) DistilProtBert: a distilled protein language model used to distinguish between real proteins and their randomly shuffled counterparts. Bioinformatics (Oxford, England). 38: ii95-ii98 |
| Peled S, Leiderman O, Charar R, et al. (2020) Function Prediction: Predicting whether a proteins binds DNA from sequence F1000research. 8 |
| Nimrod G, Fischman S, Austin M, et al. (2018) Computational Design of Epitope-Specific Functional Antibodies. Cell Reports. 25: 2121-2131.e5 |
| Fischman S, Ofran Y. (2018) Computational design of antibodies. Current Opinion in Structural Biology. 51: 156-162 |
| Daneshjou R, Wang Y, Bromberg Y, et al. (2017) Working towards precision medicine: predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges. Human Mutation |
| Peled S, Leiderman O, Charar R, et al. (2016) De-novo protein function prediction using DNA binding and RNA binding proteins as a test case. Nature Communications. 7: 13424 |
| Burkovitz A, Ofran Y. (2016) Understanding differences between synthetic and natural antibodies can help improve antibody engineering. Mabs. 8: 278-87 |
| Sela-Culang I, Ofran Y, Peters B. (2015) Antibody specific epitope prediction-emergence of a new paradigm. Current Opinion in Virology. 11: 98-102 |
| Sela-Culang I, Ashkenazi S, Peters B, et al. (2015) PEASE: predicting B-cell epitopes utilizing antibody sequence. Bioinformatics (Oxford, England). 31: 1313-5 |
| Kaever T, Meng X, Matho MH, et al. (2014) Potent neutralization of vaccinia virus by divergent murine antibodies targeting a common site of vulnerability in L1 protein. Journal of Virology. 88: 11339-55 |