This review provides the feasible literature on drug discovery through ML tools and
techniques that are enforced in every phase of drug development to accelerate the research …

Genomic medicine aims to revolutionize health care by applying our growing understanding
of the molecular basis of disease. Research in this arena is data intensive, which means …

The successful prediction of protein structure from amino acid sequence requires two
features: an efficient conformational search algorithm and an energy function with a global …

In the fifty years since the first atomic structure of a protein was revealed, tens of thousands
of additional structures have been solved. Like all objects in biology, proteins structures …

Background Structural and functional research often requires the computation of sets of
protein structures based on certain properties of the proteins, such as sequence features …

The genome scale threading of five complete microbial genomes is revisited using our state‐
of‐the‐art threading algorithm, PROSPECTOR_Q. Considering that structure assignment to …

Artificial intelligence (AI)-based drug discovery has not yet completely addressed the
numerous and varied challenges posed by the inherent complexities and demands of …

In recent years, in the post genomic era, more and more data is being generated by
biological high throughput technologies, such as proteomics and transcriptomics. This omics …

Abstract Starting with the Protein Data Bank (PDB) as a common ancestor, the evolution of
structural databases has been driven by the rapprochement of the structural world and the …

Motivation: In the post-genomic era, biologists interested in systems biology often need to
import data from public databases and construct their own system-specific or subject …