Prediction of protein tertiary structures from amino acid sequence and understanding the
mechanisms of how proteins fold, collectively known as “the protein folding problem,” has …

Since liquid–liquid phase separation (LLPS) of proteins is governed by their intrinsically
disordered regions (IDRs), it can be controlled by LLPS-regulators that bind to the IDRs. The …

Protein structure prediction (PSP) with ab initio model keeps a challenge in bioinformatics
on account of high computational complexity. To solve the problem within a limited time and …

Most intracellular activities of living organisms are performed by proteins that have unique
and complex 3-Dimensional (3D) structures, playing very important roles in their operations …

The quest for efficient sampling algorithms continues to be a demanding research topic due
to their wide spread applications. Here, we present an extension of genetic algorithm (GA) to …

This paper presents a two-phase protein folding optimization on a three-dimensional AB off-
lattice model. The first phase is responsible for forming conformations with a good …

Protein structure prediction is considered as one of the most long-standing and challenging
problem in bioinformatics. In this paper, we present an efficient ant colony optimization …

Розроблено новий генетичний алгоритм, особливістю якого є запропонований
жадібний стохастичний оператор схрещування. Застосування пропонованого …

The HP model, a coarse-grained protein representation with only hydrophobic (H) and polar
(P) amino acids, has already been extensively studied on the simple cubic (SC) lattice …

Hydrophobic‐Polar model is a simplified representation of Protein Structure Prediction
(PSP) problem. However, even with the HP model, the PSP problem remains NP‐complete …