Protein plays a key role in healthy heart function, but not all sources of protein are created equal. Learn how high-quality ...

A predictive biophysical model that integrates protein-DNA structures and sequences to accurately determine genomic binding sites and affinities of DNA-binding proteins.

Building an informational connection between the primary as well as tertiary structures of proteins depends on protein secondary structure. Protein Secondary Structure Prediction(PSSP) is a ...

Protein gives you energy thanks to amino acids. Learn why researchers want to reassess daily protein recommendations and what ...

DNA makes RNA, RNA makes protein, protein makes phenotype—was the guiding framework for understanding inheritance and disease ...

Jane McClenaghan has some top tips to help ensure your body is getting plenty of protein-derived essential amino acids ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Encapsulating biomacromolecules within metal–organic frameworks (MOFs) can confer thermostability to entrapped guests. It has been hypothesized that the confinement of guest molecules within a rigid ...

To solve this issue, we present a method that fuses the functional and topological knowledge of GO to guide protein function prediction. This method employs a multi-view GCN model to extract a variety ...

Given the amino-acid sequence or 3D structure of a protein, how much can we predict about its function using just a desktop computer? The recent explosive growth in the volume of sequence data and ...

The minima hopping algorithm (MHOP) to find global minima on potential energy surfaces is used for protein structure prediction. The energy surface of the protein is represented with an all-atom OPLS ...