Proteins interact with each other to play critical roles in many biological processes in cells.
Although promising, laboratory experiments usually suffer from the disadvantages of being …

Horizontal genomics is a new field in prokaryotic biology that is focused on the analysis of
DNA sequences in prokaryotic chromosomes that seem to have originated from other …

In this paper, we present Deep Graph Kernels, a unified framework to learn latent
representations of sub-structures for graphs, inspired by latest advancements in language …

Abstract The Structural Classification of Proteins—extended (SCOPe, https://scop. berkeley.
edu) knowledgebase aims to provide an accurate, detailed, and comprehensive description …

Kernel classifiers and regressors designed for structured data, such as sequences, trees
and graphs, have significantly advanced a number of interdisciplinary areas such as …

Understanding the relationship between amino acid sequence and protein function is a long-
standing challenge with far-reaching scientific and translational implications. State-of-the-art …

We present the Database of Disordered Protein Prediction (D2P2), available at http://d2p2.
pro (including website source code). A battery of disorder predictors and their variants, VL …

Comparative protein structure modeling predicts the three‐dimensional structure of a given
protein sequence (target) based primarily on its alignment to one or more proteins of known …

Motivation: Homology models of proteins are of great interest for planning and analysing
biological experiments when no experimental three-dimensional structures are available …

Homology modeling aims to build three-dimensional protein structure models using
experimentally determined structures of related family members as templates. SWISS …