Computational Methods for Predicting Post-Translational Modification Sites

Discover the cutting-edge insights in "Computational Methods for Predicting Post-Translational Modification Sites" by Dukka KC, published by Springer-Verlag New York Inc. in 2022. This comprehensive hardback edition spans 326 pages, delving into advanced algorithms and state-of-the-art Deep Learning techniques. The book meticulously covers hand-crafted features, physico-chemical characteristics, and the challenges of acquiring negative training data. Readers will benefit from an in-depth exploration of both sequence-based and structure-based features, making it an essential resource for researchers and professionals in the field of computational biology. Enhance your understanding of post-translational modifications and their implications in biological processes with this authoritative guide.