Artificial intelligence challenges for predicting the impact of mutations on protein stability

F Pucci, M Schwersensky, M Rooman - Current opinion in structural biology, 2022 - Elsevier
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 …

[HTML][HTML] Analysis and interpretation of the impact of missense variants in cancer

M Petrosino, L Novak, A Pasquo, R Chiaraluce… - International Journal of …, 2021 - mdpi.com
Large scale genome sequencing allowed the identification of a massive number of genetic
variations, whose impact on human health is still unknown. In this review we analyze, by an …

Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset

C Pancotti, S Benevenuta, G Birolo… - Briefings in …, 2022 - academic.oup.com
Predicting the difference in thermodynamic stability between protein variants is crucial for
protein design and understanding the genotype-phenotype relationships. So far, several …

[HTML][HTML] SAAFEC-SEQ: a sequence-based method for predicting the effect of single point mutations on protein thermodynamic stability

G Li, SK Panday, E Alexov - International journal of molecular sciences, 2021 - mdpi.com
Modeling the effect of mutations on protein thermodynamics stability is useful for protein
engineering and understanding molecular mechanisms of disease-causing variants. Here …

Protein engineering via Bayesian optimization-guided evolutionary algorithm and robotic experiments

R Hu, L Fu, Y Chen, J Chen, Y Qiao… - Briefings in …, 2023 - academic.oup.com
Directed protein evolution applies repeated rounds of genetic mutagenesis and phenotypic
screening and is often limited by experimental throughput. Through in silico prioritization of …

Mutant p53 activates hnRNPA2B1-AGAP1-mediated exosome formation to promote esophageal squamous cell carcinoma progression

R Feng, Y Yin, Y Wei, Y Li, L Li, R Zhu, X Yu, Y Liu… - Cancer Letters, 2023 - Elsevier
Abstract p53 mutations predispose cancer cell development, promote their survival and
metastasis, and lead to ineffective therapeutic responses and unfavorable prognosis. No …

Tools for computational design and high-throughput screening of therapeutic enzymes

M Vasina, J Velecký, J Planas-Iglesias… - Advanced Drug Delivery …, 2022 - Elsevier
Therapeutic enzymes are valuable biopharmaceuticals in various biomedical applications.
They have been successfully applied for fibrinolysis, cancer treatment, enzyme replacement …

Web-based tools for computational enzyme design

SM Marques, J Planas-Iglesias, J Damborsky - Current Opinion in Structural …, 2021 - Elsevier
Highlights•Enzymes are increasingly used in technological applications but often require
prior optimization.•Computational tools save time and effort in protein engineering …

Unbiased curriculum learning enhanced global-local graph neural network for protein thermodynamic stability prediction

H Gong, Y Zhang, C Dong, Y Wang, G Chen… - …, 2023 - academic.oup.com
Motivation Proteins play crucial roles in biological processes, with their functions being
closely tied to thermodynamic stability. However, measuring stability changes upon point …

[HTML][HTML] Performance of Web tools for predicting changes in protein stability caused by mutations

A Marabotti, E Del Prete, B Scafuri, A Facchiano - BMC bioinformatics, 2021 - Springer
Background Despite decades on developing dedicated Web tools, it is still difficult to predict
correctly the changes of the thermodynamic stability of proteins caused by mutations. Here …