Machine Learning in Protein Science

The book "Machine Learning in Protein Science" provides a comprehensive examination of the application of machine learning in protein science. It focuses on the efficient prediction of protein structures and properties, which is crucial for research in the fields of biochemistry and molecular biology. The authors, Jinjin Li and Yanqiang Han, combine mathematical concepts with scientific approaches to develop innovative solutions for complex problems in protein research. This specialized book is aimed at scientists, students, and professionals seeking a deeper understanding of the interface between computer science and life sciences. With a clear focus on the latest developments in organic chemistry and related technologies, the book offers valuable insights and practical applications.