The engineering of thermostable enzymes is particularlly relevant for enzyme engineering. Industries seek to use environmentally friendly enzymes in their processes. Thermostability of proteins in general and especially thermophilic proteins has been a subject of a wide variety of studies based on theoretical and experimental investigations. Enzymes typically function at temperatures below 60<sup>o </sup>C and denature if exposed to higher temperatures. In contrast, a small portion of enzymes can withstand higher temperatures as a result of various structural adaptations. Understanding how proteins adapt to functions at high temperatures is important for deciphering the protein attributes that dictate protein stability. The present work focuses on employing various supervised and unsupervised machine learning algorithms as well as attribute weighting approaches to find protein attributes that contribute to enzyme thermostability. Specifically, we compared two groups of enzymes: mesophilic and thermophilic enzymes. Further, a combination of attribute weighting with supervised and unsupervised clustering algorithms was used for prediction and modeling of protein thermostability from amino acid composition properties. This study demonstrates the feasibility of predicting thermostability irrespective of sequence similarity and is expected to serve as a basis for engineering thermostable enzymes.

Decoding the role of amino acids attributes for the prediction of protein thermostability: Machine learning and statistical approach

Macromolecular Chemistry: The Second Century

[Author Benefits](https://scimeetings.acs.org/?utm_source=pubs_content_marketing&utm_medium=website&utm_campaign=0320_MCF_NPI_Launch_Spring_Homepage&ref=pubs_content_marketing)

[How to use SciMeetings](https://storage.googleapis.com/dl.morressier.com/acs/SciMeetings-ACSSpring2020-HowToGuide_M3020-Final.pdf)

[Frequently Asked Questions](https://storage.googleapis.com/dl.morressier.com/acs/SciMtng_ACSNMSp2020_FAQ_M3120_Final.pdf)

ACS Spring 2020 National Meeting & Expo

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.