AlphaFold has burst into our lives. A powerful algorithm that underscores the strength of
biological sequence data and artificial intelligence (AI). AlphaFold has appended projects …

Recognition of the natural abundance and functional importance of intrinsically disordered
proteins (IDPs), and protein hybrids that contain both intrinsically disordered protein regions …

Molecular recognition, which is the process of biological macromolecules interacting with
each other or various small molecules with a high specificity and affinity to form a specific …

In humans, the S100 protein family is composed of 21 members that exhibit a high degree of
structural similarity, but are not functionally interchangeable. This family of proteins …

Docking methodology aims to predict the experimental binding modes and affinities of small
molecules within the binding site of particular receptor targets and is currently used as a …

Allostery is largely associated with conformational and functional transitions in individual
proteins. This concept can be extended to consider the impact of conformational …

All soluble proteins populate conformational ensembles that together constitute the native
state. Their fluctuations in water are intrinsic thermodynamic phenomena, and the …

Ras proteins are classical members of small GTPases that function as molecular switches by
alternating between inactive GDP-bound and active GTP-bound states. Ras activation is …

Molecular recognition is central to all biological processes. For the past 50 years,
Koshland's' induced fit'hypothesis has been the textbook explanation for molecular …

Highlights•AlphaFold models have rigid protein structures.•Advanced deep algorithms fed
relevant data can accurately predict structures.•Algorithmic advances can harness …