A5102787388- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Enzyme Structure and Function
- RNA and protein synthesis mechanisms
- Genetics, Bioinformatics, and Biomedical Research
- Advanced Proteomics Techniques and Applications
- Bioinformatics and Genomic Networks
Nankai University
2023-2024
Abstract Intrinsic disorder (ID) in proteins is well-established structural biology, with increasing evidence for its involvement essential biological processes. As measuring dynamic ID behavior experimentally on a large scale remains difficult, scores of published predictors have tried to fill this gap. Unfortunately, their heterogeneity makes it difficult compare performance, confounding biologists wanting make an informed choice. To address issue, the Critical Assessment protein Disorder...
Protein-protein and protein-nucleic acids interactions are fundamental to numerous cellular functions, yet only a small fraction have been experimentally characterized. Although modern computational methods developed for predicting interacting residues in proteins, they challenging use due individual installation execution requirements, lack of standardized input or output format, absence support result analysis. Moreover, trained using structures complexes intrinsically disordered regions,...
Abstract The DescribePROT database of amino acid-level descriptors protein structures and functions was substantially expanded since its release in 2020. This expansion includes substantial increase the size, scope, quality underlying data, addition experimental structural information, inclusion new data download options, an upgraded graphical interface. currently covers 19 functional for proteins 273 reference proteomes generated by 11 accurate complementary predictive tools. Users can...
Disordered linkers (DLs) are intrinsically disordered regions that facilitate movement between adjacent functional regions/domains, contributing to many key cellular functions. The recently completed second Critical Assessments of protein Intrinsic Disorder prediction (CAID2) experiment evaluated DL predictions by considering a rather narrow scenario when predicting 40 proteins already known have DLs. We expand this evaluation using much larger set nearly 350 test from CAID2 and...