دانلود کتاب الگوریتم‌ها و روش‌ها در بیوانفورماتیک سازه‌ای

The three-dimensional structure and function of molecules present many challenges and opportunities for developing an understanding of biological systems. With the increasing availability of molecular structures and the advancing accuracy of structure predictions and molecular simulations, the space for algorithmic advancement on many analytical and predictive problems is both broad and deep. To support this field, a rich set of methods and algorithms are available, addressing a variety of important problems such as protein-protein interactions, the effect of mutations on protein structure and function, and protein structure determination. Recently, a deep learning-based algorithm, AlphaFold, made tremendous progress in predicting the three-dimensional structures of proteins, known as the protein folding problem. However, many problems still remain unsolved. In particular, the experimental resolution of protein structures, especially large macromolecules, still lags behind the availability of protein sequences. Modeling protein-protein interactions and protein binding still remain a challenge. Even when the three-dimensional structure of two interacting proteins is known, it is still difficult to determine the complex formed by the two proteins. It is also challenging to model and analyze conformational transitions in proteins, due to the transient nature of intermediate structures.