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110189 |
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|a dc
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|a Peng, Jian
|e author
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|a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
|e contributor
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|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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|a Massachusetts Institute of Technology. Department of Mathematics
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|a Peng, Jian
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|a Tucker, George Jay
|e contributor
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|a Leighton, Alexander T.
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|a Berger Leighton, Bonnie
|e contributor
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|a Tucker, George Jay
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|a Leighton, Alexander T.
|e author
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|a Berger Leighton, Bonnie
|e author
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|a Widespread Macromolecular Interaction Perturbations in Human Genetic Disorders
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|b Elsevier,
|c 2017-06-22T22:54:34Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/110189
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|a How disease-associated mutations impair protein activities in the context of biological networks remains mostly undetermined. Although a few renowned alleles are well characterized, functional information is missing for over 100,000 disease-associated variants. Here we functionally profile several thousand missense mutations across a spectrum of Mendelian disorders using various interaction assays. The majority of disease-associated alleles exhibit wild-type chaperone binding profiles, suggesting they preserve protein folding or stability. While common variants from healthy individuals rarely affect interactions, two-thirds of disease-associated alleles perturb protein-protein interactions, with half corresponding to "edgetic" alleles affecting only a subset of interactions while leaving most other interactions unperturbed. With transcription factors, many alleles that leave protein-protein interactions intact affect DNA binding. Different mutations in the same gene leading to different interaction profiles often result in distinct disease phenotypes. Thus disease-associated alleles that perturb distinct protein activities rather than grossly affecting folding and stability are relatively widespread.
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|a en_US
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|a Article
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|t Cell
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