Affinity regression predicts the recognition code of nucleic acid–binding proteins
Affinity regression predicts the recognition code of nucleic acid–binding proteins
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New York: Nature Publishing Group US
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Language
English
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Publisher
New York: Nature Publishing Group US
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Contents
The specificity of DNA- and RNA-binding proteins is predicted from primary protein sequences using a machine learning approach.
Predicting the affinity profiles of nucleic acid–binding proteins directly from the protein sequence is a challenging problem. We present a statistical approach for learning the recognition code of a family of transcrip...
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Full title
Affinity regression predicts the recognition code of nucleic acid–binding proteins
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4871164
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4871164
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ISSN
1087-0156
E-ISSN
1546-1696
DOI
10.1038/nbt.3343
