Each log-density has its own coefficient vector in the basis expansion, and it can be used for clustering and classification of the densities. Furthermore, using a common set of basis functions significantly reduces the number of parameters to be estimated. This method has been applied to ...
The three-dimensional (3D) structure of a protein is intrinsically linked with its molecular function. Experimental structure determination is an expensive and time-consuming process, and homology-based computational prediction loses its power for proteins without close homologues8. Notwithstanding, deep le...
Structural insight of the protein–protein interaction (PPI) interface can provide knowledge about the kinetics, thermodynamics and molecular functions of the complex while elucidating its role in diseases and further enabling it as a potential therapeutic target. However, owing to experimental lag in s...
For storage proteins the classification renders four major classes or “Osborne fractions”: water-soluble albumins; saline-solution soluble globulins; alcohol-soluble prolamins; and alkali-soluble glutelins. Each of these classes contains a complex mixture of proteins and exhibits different functional ...
Experimental results demonstrated that the proposed method performed significantly well in distinguishing interacting and non-interacting protein pairs. It was observed that PCA-EELM achieved the highest classification accuracy of 89% and mean classification accuracy of 88% using 5-fold cross-validation. ...
Secondly, the brain-specific angiogenesis inhibitors 1, 2 and 3 (BAI1, BAI2, BAI3), a group of proteins that have been implicated in the vascular- ization of glioblastomas. Thirdly, the protein encoded by the Drosophila gene flamingo, also known as starry night, and its orthologs in ...
SQANTI Protein: new classification scheme for full-length protein isoforms We derived protein isoform models from long-read RNA sequencing data for each gene and found that many genes may concurrently express multiple protein isoforms (Additional file 1: Fig. S2d). To systematically characterize these...
In a second test, we quantify the ability of the significance score of the alignments to recognize structural and evolutionary relationships. As a benchmark we use a representative set of the SCOP (structural classification of proteins) database, with similarities ranging from closely related ...
A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design Weihang Dai arXiv:2501.01477 The Promise of Protein Design: A Q&A with Nobel Laureate David Baker David Baker and Fay Lin GEN Biotechnology (2025) Protein design and structure solution for drug discovery ...
similar function have similar amino acidcompositionand sequence. Although it is not yet possible to explain all of the functions of a protein from its amino acid sequence, established correlations between structure and function can be attributed to the properties of the amino acids that compose ...