Cancer cells accumulate many genetic alterations throughout their lifetime, but only a few of
them drive cancer progression, termed driver mutations. Driver mutations may vary between …

A number of machine learning (ML)-based algorithms have been proposed for predicting
mutation-induced stability changes in proteins. In this critical review, we used hypothetical …

Missense mutations may affect proteostasis by destabilizing or over-stabilizing protein
complexes and changing the pathway flux. Predicting the effects of stabilizing mutations on …

At the root of the so-called precision medicine or precision oncology, which is our focus
here, is the hypothesis that cancer treatment would be considerably better if therapies were …

Highlights•Allosteric drugs have become an indispensable tool in precision medicine.•Major
targets for allosteric drugs: diversity structures and functions.•Allosteric effects of mutations …

Proteins engage in highly selective interactions with their macromolecular partners.
Sequence variants that alter protein binding affinity may cause significant perturbations or …

Identifying driver mutations in cancer is notoriously difficult. To date, recurrence of a mutation
in patients remains one of the most reliable markers of mutation driver status. However …

Cancer progression is an evolutionary process. During this process, evolving cancer cell
populations encounter restrictive ecological niches within the body, such as the primary …

Regardless of the diversity of systems, allosteic signalling is found to be always caused by
perturbations. This recurring trait of allostery serves as a foundation for developing different …

The AlloSigMA 2 server provides an interactive platform for exploring the allosteric signaling
caused by ligand binding and/or mutations, for analyzing the allosteric effects of mutations …