Editorial [Hot Topic: Machine Learning Models in Protein Bioinformatics (Guest Editors: Lukasz Kurgan & Yaoqi Zhou)]

The scope of this thematic issue centers on the integration of proteomic and peptidomic technologies into the field of cancer immunotherapy, with a particular emphasis on exploring the tumor immune microenvironment. This issue aims to gather contributions that illustrate the application of these advanced methodologies in unveiling the complex interplay ...read more

Protein research, essential for understanding biological processes and creating therapeutics, faces challenges due to the intricate nature of protein structures and functions. Traditional methods are limited in exploring the vast protein sequence space efficiently. Artificial intelligence (AI) and machine learning (ML) offer promising solutions by improving predictions and speeding up ...read more

The musculoskeletal system consists mainly of cartilage, bone, muscles, tendons, connective tissue and ligaments. Balanced metabolism is of vital importance for the homeostasis of the musculoskeletal system. A series of musculoskeletal diseases (for example, sarcopenia, osteoporosis) are resulted from the dysregulated metabolism of the musculoskeletal system. Furthermore, metabolic diseases (such ...read more

Protein folding, misfolding and aggregation remain one of the main problems of interdisciplinary science not only because many questions are still open, but also because they are important from the point of view of practical application. Protein aggregation and formation of fibrillar structures, for example, is a hallmark of a ...read more