{"product_id":"protein-structure-prediction-9781617377570","title":"Protein Structure Prediction","description":"\u003cp\u003e • Author(s): Mohammed Zaki\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Humana\u003cbr\u003e • BISAC: Life Sciences - Biochemistry\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eFor forty years we have known the essential ingredients for protein folding - an amino acid sequence, and water. But the problem of predicting the three-dimensional structure from its sequence has eluded computational biologists even in the age of supercomputers and high throughput structural genomics. Despite the unsolved mystery of how a protein folds, advances are being made in predicting the interactions of proteins with other molecules, such as small ligands, nucleic acids or other proteins. \u003cem\u003eProtein Structure Prediction\u003c\/em\u003e focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well-known practitioners. Leaders in the field provide insights into template-based methods of prediction, structure alignment and indexing, protein features prediction, and methods for \u003cem\u003ede novo\u003c\/em\u003e structure prediction. \u003cem\u003eProtein Structure Prediction\u003c\/em\u003e is a cutting-edge text that all researchers in the field should have in their libraries.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45274466451607,"sku":"9781617377570","price":11017.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781617377570.webp?v=1769280009","url":"https:\/\/atlanticbooks.com\/products\/protein-structure-prediction-9781617377570","provider":"Atlantic Books","version":"1.0","type":"link"}