Machine learning-guided protein engineering
Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …
machine learning methods. These methods leverage existing experimental and simulation …
Utility of B-factors in protein science: interpreting rigidity, flexibility, and internal motion and engineering thermostability
Z Sun, Q Liu, G Qu, Y Feng, MT Reetz - Chemical reviews, 2019 - ACS Publications
The term B-factor, sometimes called the Debye–Waller factor, temperature factor, or atomic
displacement parameter, is used in protein crystallography to describe the attenuation of X …
displacement parameter, is used in protein crystallography to describe the attenuation of X …
Recent advances in simultaneous thermostability-activity improvement of industrial enzymes through structure modification
Engineered thermostable microbial enzymes are widely employed to catalyze chemical
reactions in numerous industrial sectors. Although high thermostability is a prerequisite of …
reactions in numerous industrial sectors. Although high thermostability is a prerequisite of …
Recent advances in the improvement of enzyme thermostability by structure modification
Z Xu, YK Cen, SP Zou, YP Xue… - Critical reviews in …, 2020 - Taylor & Francis
Thermostability is considered to be an important parameter to measure the feasibility of
enzymes for industrial applications. Generally, higher thermostability makes an enzyme …
enzymes for industrial applications. Generally, higher thermostability makes an enzyme …
Advancing enzyme's stability and catalytic efficiency through synergy of force-field calculations, evolutionary analysis, and machine learning
Thermostability is an essential requirement for the use of enzymes in the bioindustry. Here,
we compare different protein stabilization strategies using a challenging target, a stable …
we compare different protein stabilization strategies using a challenging target, a stable …
Artificial intelligence challenges for predicting the impact of mutations on protein stability
Stability is a key ingredient of protein fitness, and its modification through targeted mutations
has applications in various fields, such as protein engineering, drug design, and deleterious …
has applications in various fields, such as protein engineering, drug design, and deleterious …
[HTML][HTML] FoldX as protein engineering tool: better than random based approaches?
O Buß, J Rudat, K Ochsenreither - Computational and structural …, 2018 - Elsevier
Improving protein stability is an important goal for basic research as well as for clinical and
industrial applications but no commonly accepted and widely used strategy for efficient …
industrial applications but no commonly accepted and widely used strategy for efficient …
Opportunities and challenges in design and optimization of protein function
The field of protein design has made remarkable progress over the past decade. Historically,
the low reliability of purely structure-based design methods limited their application, but …
the low reliability of purely structure-based design methods limited their application, but …
Thermostability engineering of industrial enzymes through structure modification
Thermostability is an essential requirement of enzymes in the industrial processes to
catalyze the reactions at high temperatures; thus, enzyme engineering through directed …
catalyze the reactions at high temperatures; thus, enzyme engineering through directed …
FireProtDB: database of manually curated protein stability data
The majority of naturally occurring proteins have evolved to function under mild conditions
inside the living organisms. One of the critical obstacles for the use of proteins in …
inside the living organisms. One of the critical obstacles for the use of proteins in …