Anna Tramontano Knihy

While most textbooks on bioinformatics focus on genetic algorithms and treat protein structure prediction only superficially, this course book assumes a novel and unique focus. Adopting a didactic approach, the author explains all the current methods in terms of their reliability, limitations and user-friendliness. She provides practical examples to help first-time users become familiar with the possibilities and pitfalls of computer-based structure prediction, making this a must-have for students and researchers.

Focusing on critical challenges in protein bioinformatics, this book delves into high-speed computational methods for understanding proteins' biological properties and functions. It evaluates existing solutions for significant problems and explores potential future approaches. Additionally, it provides foundational knowledge on protein structure and function from an evolutionary standpoint, along with a curated reading list for further exploration at the conclusion of each chapter.

Focusing on the application of bioinformatics in solving biological challenges, the book covers genomic sequence analysis, protein structure prediction, and molecular function identification. It explores data storage and retrieval, genome information decryption, and the evolutionary and functional relationships among biological elements. Unique to this text is its inclusion of proteomics content not found in other introductory bioinformatics books. The discussion extends to future developments in the field, providing a comprehensive overview of bioinformatics methodologies and their implications.