Machine learning-assisted directed protein evolution with combinatorial libraries
نویسندگان
چکیده
منابع مشابه
[Directed evolution of antibody molecules in phage-displayed combinatorial libraries].
Advances in methods for conformational prediction, structural analysis and site-directed mutagenesis of proteins and peptides have contributed to the understanding of their structure and function. However, with the exception of a few successes, the generation of practical functional molecules solely by rational design remains a difficult challenge. The aim of our study is to investigate molecul...
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Combinatorial experiments provide new ways to probe the determinants of protein folding and to identify novel folding amino acid sequences. These types of experiments, however, are complicated both by enormous conformational complexity and by large numbers of possible sequences. Therefore, a quantitative computational theory would be helpful in designing and interpreting these types of experime...
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Proteins created by combinatorial methods in vitro are an important source of information for understanding sequence-structure-function relationships. Alignments of folded proteins from combinatorial libraries can be analyzed using methods developed for naturally occurring proteins, but this neglects the information contained in the unfolded sequences of the library. We introduce two algorithms...
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Predicting how a proposed cancer treatment will affect a given tumor can be cast as a machine learning problem, but the complexity of biological systems, the number of potentially relevant genomic and clinical features, and the lack of very large scale patient data repositories make this a unique challenge. “Pure data” approaches to this problem are underpowered to detect combinatorially comple...
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ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2019
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.1901979116