AutoCoEv-A High-Throughput In Silico Pipeline for Predicting Inter-Protein Coevolution

• Published in: International journal of molecular sciences Vol. 23; no. 6; p. 3351
• Main Authors: Petrov, Petar B, Awoniyi, Luqman O, Šuštar, Vid, Balci, M Özge, Mattila, Pieta K
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 20.03.2022; MDPI
• Subjects: Amino acids; Automation; Coevolution; Computer applications; correlation; Evolution, Molecular; Functionals; interaction; Lipid rafts; Lipids; Lymphocytes; Lymphocytes B; Phylogenetics; pipeline; Pipelines; protein; Protein interaction; Proteins; Proteins - genetics; Proteins - metabolism; Software; Source code; Trees; Workflow; pipeline; interaction; automation; correlation; coevolution; protein

Protein-protein interactions govern cellular processes via complex regulatory networks, which are still far from being understood. Thus, identifying and understanding connections between proteins can significantly facilitate our comprehension of the mechanistic principles of protein functions. Coevo...