PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Scope & Guideline
Advancing Knowledge in Biochemistry and Beyond
Introduction
Aims and Scopes
- Protein Structure Analysis:
The journal emphasizes the structural characterization of proteins using techniques like X-ray crystallography, NMR spectroscopy, and cryo-EM, contributing to our understanding of protein function and interactions. - Computational Modeling and Simulation:
A significant focus on computational approaches, including molecular dynamics simulations, machine learning, and bioinformatics methods, to predict protein structures, dynamics, and interactions. - Protein-Protein and Protein-Ligand Interactions:
Research often investigates the mechanisms of protein-protein and protein-ligand interactions, including binding affinity predictions and modeling complex formations. - Post-Translational Modifications:
The journal covers studies on the effects of post-translational modifications on protein function, stability, and interactions, highlighting their biological significance. - Thermodynamics and Stability:
Research addresses the thermodynamic principles underlying protein stability and folding, often using computational methods to explore stability-enhancing mutations. - Bioinformatics Tools and Resources:
The journal contributes to the development and application of bioinformatics tools for protein analysis, structure prediction, and functional annotation.
Trending and Emerging
- Machine Learning and AI in Protein Research:
There is a notable increase in the application of machine learning and AI techniques for predicting protein structures, interactions, and functions, showcasing their potential to revolutionize protein science. - Integration of Structural Biology with Genomics:
Emerging themes focus on integrating structural biology with genomic data to enhance our understanding of protein functions within broader biological contexts. - Dynamic and Flexible Protein Structures:
Research on the dynamics and flexibility of proteins, including studies on intrinsically disordered regions, is gaining traction, emphasizing the importance of dynamic behavior in protein function. - Thermostability and Engineering of Proteins:
There is a growing interest in enhancing protein thermostability through engineering, particularly in the context of biotechnological applications. - Drug Discovery and Protein Targeting:
Research related to drug discovery, particularly using structural insights for targeting proteins in disease contexts, is increasingly prevalent, reflecting a focus on therapeutic applications.
Declining or Waning
- Classical Protein Structure Prediction:
Traditional methods of protein structure prediction based solely on sequence homology have become less prominent, as newer, more accurate approaches like AlphaFold have gained traction. - Single-Method Experimental Approaches:
Research relying solely on single experimental techniques, such as only X-ray crystallography or NMR without computational support, is waning, as integration with computational methods becomes the norm. - Niche Proteins and Rare Pathways:
Studies focusing on niche proteins or rare biological pathways have seen less attention, likely due to a broader interest in more universally applicable proteins and pathways.
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