Structural Bioinformatics: An Algorithmic Approach (Hardcover)

Forbes J. Burkowski

買這商品的人也買了...

商品描述

The Beauty of Protein Structures and the Mathematics behind Structural Bioinformatics
Providing the framework for a one-semester undergraduate course, Structural Bioinformatics: An Algorithmic Approach shows how to apply key algorithms to solve problems related to macromolecular structure.

Helps Students Go Further in Their Study of Structural Biology
Following some introductory material in the first few chapters, the text solves the longest common subsequence problem using dynamic programming and explains the science models for the Nussinov and MFOLD algorithms. It then reviews sequence alignment, along with the basic mathematical calculations needed for measuring the geometric properties of macromolecules. After looking at how coordinate transformations facilitate the translation and rotation of molecules in a 3D space, the author introduces structural comparison techniques, superposition algorithms, and algorithms that compare relationships within a protein. The final chapter explores how regression and classification are becoming more useful in protein analysis and drug design.

At the Crossroads of Biology, Mathematics, and Computer Science
Connecting biology, mathematics, and computer science, this practical text presents various bioinformatics topics and problems within a scientific methodology that emphasizes nature (the source of empirical observations), science (the mathematical modeling of the natural process), and computation (the science of calculating predictions and mathematical objects based on mathematical models).

商品描述(中文翻譯)

《蛋白質結構之美與結構生物信息學背後的數學》

提供一個一學期的本科課程框架,《結構生物信息學:一種算法方法》展示了如何應用關鍵算法解決與大分子結構相關的問題。

幫助學生在結構生物學的學習中更進一步

在前幾章的一些入門材料之後,本書使用動態規劃解決了最長公共子序列問題,並解釋了Nussinov和MFOLD算法的科學模型。然後,它回顧了序列對齊,以及測量大分子幾何特性所需的基本數學計算。在研究了坐標變換如何促進分子在三維空間中的平移和旋轉之後,作者介紹了結構比較技術、超級重疊算法以及比較蛋白質內部關係的算法。最後一章探討了回歸和分類在蛋白質分析和藥物設計中變得更加有用的情況。

生物學、數學和計算機科學的交叉點

將生物學、數學和計算機科學相連,這本實用的教材以強調自然(經驗觀察的來源)、科學(自然過程的數學建模)和計算(基於數學模型計算預測和數學對象的科學)的科學方法講述了各種生物信息學主題和問題。