{"product_id":"computational-methods-for-predicting-post-translational-modification-sites-springer-verlag-new-york-inc-9781071623169-dukka-kc","title":"Computational Methods for Predicting Post-Translational Modification Sites","description":"\u003cp\u003eDiscover 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.\u003c\/p\u003e","brand":"Dukka KC","offers":[{"title":"Default Title","offer_id":52277243052374,"sku":"9781071623169","price":242.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9781071623169.jpg?v=1767819370","url":"https:\/\/www.bookshop.lv\/products\/computational-methods-for-predicting-post-translational-modification-sites-springer-verlag-new-york-inc-9781071623169-dukka-kc","provider":"Bookshop","version":"1.0","type":"link"}