Water solubility and structural stability are key merits for proteins defined by the primary
sequence and 3D-conformation. Their manipulation represents important aspects of the …

Arguably, 2020 was the year of high‐accuracy protein structure predictions, with AlphaFold
2.0 achieving previously unseen accuracy in the Critical Assessment of Protein Structure …

Artificial intelligence (AI) has permeated various sectors, including the pharmaceutical
industry and research, where it has been utilized to efficiently identify new chemical entities …

Proteins have dynamic structures that undergo chain motions on time scales spanning from
picoseconds to seconds. Resolving the resultant conformational heterogeneity is essential …

La inteligencia artificial y el Big Data se articulan para poder lidiar con diferentes problemas
relacionados con el análisis de datos masivos, en particular información de la COVID-19 …

The ability of protein chains to spontaneously form their three-dimensional structures is a
long-standing mystery in molecular biology. The most conceptual aspect of this mystery is …

There has been recent success in prediction of the three-dimensional folded native
structures of proteins, most famously by the AlphaFold Algorithm running on …

Despite the spectacular success of cutting-edge protein fold prediction methods, many
critical questions remain unanswered, including why proteins can reach their native state in …

Protein synthesis from mRNA is an energy-intensive and strictly controlled biological
process. Translation elongation is a well-coordinated and multifactorial step in translation …

Cells have evolved sophisticated molecular control systems to maximize the efficiency of the
folding process. However, any subtle alteration of the environment or the protein can lead to …