Protein Surface Recognition

Protein Surface Recognition pdf epub mobi txt 电子书 下载 2026

出版者:
作者:Giralt, Ernest/ Peczuh, Mark/ Salvatella, Xavier
出品人:
页数:344
译者:
出版时间:2011-1
价格:1313.00元
装帧:
isbn号码:9780470059050
丛书系列:
图书标签:
  • 蛋白质
  • 表面识别
  • 蛋白质组学
  • 生物信息学
  • 分子生物学
  • 生物化学
  • 结构生物学
  • 药物设计
  • 蛋白质相互作用
  • 计算生物学
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具体描述

A new perspective on the design of molecular therapeutics is emerging. This new strategy emphasizes the rational complementation of functionality along extended patches of a protein surface with the aim of inhibiting protein/protein interactions. The successful development of compounds able to inhibit these interactions offers a unique chance to selectively intervene in a large number of key cellular processes related to human disease. Protein Surface Recognition presents a detailed treatment of this strategy, with topics including: an extended survey of protein-protein interactions that are key players in human disease and biology and the potential for therapeutics derived from this new perspective the fundamental physical issues that surround protein-protein interactions that must be considered when designing ligands for protein surfaces examples of protein surface-small molecule interactions, including treatments of protein-natural product interactions, protein-interface peptides, and rational approaches to protein surface recognition from model to biological systems a survey of techniques that will be integral to the discovery of new small molecule protein surface binders, from high throughput synthesis and screening techniques to in silico and in vitro methods for the discovery of novel protein ligands. Protein Surface Recognition provides an intellectual “tool-kit” for investigators in medicinal and bioorganic chemistry looking to exploit this emerging paradigm in drug discovery.

Protein Surface Recognition Protein surface recognition is a fundamental process that underpins a vast array of biological phenomena, from cellular signaling and enzyme catalysis to immune responses and drug interactions. Understanding how proteins recognize and interact with other molecules on their surfaces is crucial for deciphering the intricate mechanisms of life and for developing novel therapeutic strategies. This book delves into the multifaceted world of protein surface recognition, exploring the principles, methodologies, and applications that drive our understanding of these critical molecular interactions. The book begins by establishing a strong foundation in the structural basis of protein surface recognition. It meticulously details the diverse chemical and physical properties of protein surfaces, including their amino acid composition, charge distribution, hydrophobicity, and flexibility. Readers will gain a comprehensive understanding of how these intrinsic surface characteristics dictate the specificity and affinity of molecular binding. Key concepts such as complementarity, induced fit, and allosteric modulation are thoroughly examined, illustrating the dynamic nature of protein-ligand interactions. The role of conformational flexibility and the contribution of intrinsically disordered regions to recognition processes are also highlighted, offering a nuanced perspective beyond static structural models. Following the exploration of structural determinants, the book transitions to the various molecular players involved in protein surface recognition. It provides in-depth coverage of small molecule ligands, peptides, carbohydrates, nucleic acids, and other proteins, detailing the unique recognition mechanisms employed by each. The intricate world of antibody-antigen interactions, crucial for adaptive immunity, is thoroughly discussed, including epitope mapping and the design of immunotherapeutic agents. Furthermore, the book explores the recognition events involving protein-protein complexes, which are essential for forming functional molecular machines and mediating complex cellular pathways. The principles governing transient and stable protein-protein interactions are elucidated, along with the role of specific interaction motifs and domains. A significant portion of the book is dedicated to the experimental and computational methodologies employed to study protein surface recognition. Readers will be introduced to a wide range of biochemical and biophysical techniques, such as surface plasmon resonance (SPR), isothermal titration calorimetry (ITC), and microscale thermophoresis (MST), which are used to quantify binding kinetics and thermodynamics. Fluorescence-based methods, including Förster Resonance Energy Transfer (FRET) and fluorescence polarization, are also explained, providing insights into molecular proximity and conformational changes. The book also extensively covers structural biology techniques like X-ray crystallography and Nuclear Magnetic Resonance (NMR) spectroscopy, which provide atomic-level details of recognition interfaces. Complementing the experimental approaches, the book dedicates substantial content to computational methods that predict and analyze protein surface recognition. Molecular docking algorithms, virtual screening techniques, and quantitative structure-activity relationship (QSAR) studies are explained in detail, empowering readers to computationally explore binding possibilities and design new ligands. Machine learning and artificial intelligence approaches are also discussed, showcasing their growing impact on predicting binding affinity, identifying key recognition residues, and designing novel protein interfaces with desired properties. The book emphasizes the synergistic relationship between experimental and computational approaches, underscoring how they inform and validate each other. The latter sections of the book pivot towards the diverse biological and therapeutic applications of understanding protein surface recognition. The book provides detailed case studies in drug discovery and development, illustrating how knowledge of recognition mechanisms guides the design of small molecule inhibitors, activators, and modulators for various diseases. The importance of protein surface recognition in enzyme activity and substrate specificity is explored, along with strategies for designing engineered enzymes with altered or novel catalytic properties. The book also delves into the realm of biotechnology, discussing applications in protein-based biosensors, affinity chromatography, and protein engineering for novel functions. Furthermore, the book examines the role of protein surface recognition in understanding disease pathogenesis. It explores how aberrant recognition events contribute to the development and progression of conditions such as cancer, neurodegenerative disorders, and infectious diseases. The book also discusses how targeting specific recognition pathways offers promising therapeutic avenues, including the development of antibodies, receptor antagonists, and protein-protein interaction inhibitors. The immunoinformatics aspects, focusing on predicting immunogenic epitopes and designing vaccines, are also touched upon, highlighting the critical role of protein surface recognition in host-pathogen interactions and immune system modulation. In summary, Protein Surface Recognition offers a comprehensive and in-depth exploration of this vital biological process. By integrating fundamental principles, cutting-edge methodologies, and diverse applications, this book serves as an invaluable resource for researchers, students, and practitioners in the fields of molecular biology, biochemistry, structural biology, pharmacology, and biotechnology. It aims to equip readers with the knowledge and tools necessary to unravel the complexities of molecular recognition and to leverage this understanding for scientific advancement and therapeutic innovation.

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不得不提的是,这本书的参考文献列表,其浩瀚程度简直令人咋舌。它更像是一部学科发展史的缩影,囊括了从上世纪八十年代至今所有相关的里程碑式研究。这无疑极大地提升了本书作为一部工具书的权威性和参考价值,任何一个严肃的研究人员,都可以将其作为追溯源头的“时间机器”。然而,也正是这份详尽,带来了一个意想不到的副作用:阅读体验变得极其碎片化。每当作者引用一个关键观点时,我的目光就会不由自主地被吸引到文末,去核对那个年代久远的文献来源。这导致我很难一口气读完一个段落,总是在“当前文本”和“历史背景”之间来回拉扯。虽然这对于精研历史背景的学者是极大的便利,但对于追求连贯阅读流畅性的普通读者而言,这种频繁的“中断”极大地削弱了阅读的沉浸感,让人总觉得是在“查资料”而非“读故事”。

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这本书的装帧设计着实令人眼前一亮,那种沉稳的深蓝色调搭配着烫金的书名,初看之下就透着一股厚重且专业的学术气息。纸张的选择也颇为考究,触感细腻,翻页时发出的沙沙声也相当悦耳,显然不是那种廉价的印刷品可以比拟的。光是捧在手里,就能感受到作者团队在每一个细节上所倾注的心血。不过,我得承认,当真正翻开内页,试图去理解那些复杂的图表和密集的公式时,我这种非本专业的读者还是感到了不小的挑战。那些精密的分子结构图,虽然清晰无比,但要完全解读其背后的生化意义,需要的知识储备远超我的预期。这本书的排版布局非常紧凑,几乎没有浪费任何空间,每一页都塞满了信息,这对于资深研究人员来说或许是效率的体现,但对我这种希望快速把握核心概念的门外汉而言,阅读体验就变得略微吃力了。整体而言,这本书在视觉呈现和硬件质量上,绝对是行业内的顶尖水准,光是摆在书架上,都能提升整个书房的“学术格调”。

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这本书的叙事逻辑和章节组织结构,简直像是一部精心编排的交响乐,层层递进,但中间的某些乐章转调实在过于突兀,让听众(读者)有些措手不及。前几章对基础理论的铺陈可谓是面面俱到,从宏观的细胞相互作用机制到微观的氨基酸残基特性,作者用了大量的篇幅进行详尽的梳理和回顾,感觉像是在为一篇博士论文打地基,扎实得让人几乎看不到尽头。然而,一旦进入到核心的“识别机制”探讨部分,笔锋突然变得极其锐利和跳跃。某些关键性的过渡章节,像是被生生抽离了一部分,使得从“理论基础”到“高级模型应用”之间的逻辑链条显得不够连贯。我不得不频繁地停下来,反复查阅前面的定义,才能勉强跟上作者的思路。这更像是一位学贯中西的泰斗,在跟一群初学者讲解一个他已经了然于胸的复杂体系,虽然内容无比精深,但“为人师表”的耐心似乎在深入探讨时有所减弱。对于渴望循序渐进学习的读者,这种结构上的断裂感是比较令人沮丧的。

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阅读此书的过程中,我最大的感受是作者在数据呈现和图示化方面所展现出的“极简主义”倾向。他们似乎坚信,任何语言的描述都是多余的,核心的科学洞察力,必须通过那些高度抽象化的数学模型和示意图直接灌输给读者。这无可厚非,毕竟在尖端领域,语言的精确性往往敌不过符号的简洁性。但是,对于我这种需要通过“具象化”来理解抽象概念的学习者来说,这简直是一场灾难。那些二维投影图,虽然标记了所有必要的向量和场域,但缺乏必要的注解性文字来解释这些图示背后的“物理意义”或“生物学启示”。我花了大量时间去揣摩那些箭头和虚线究竟代表了能量的转移还是构象的微小变化。这种“只可意会不可言传”的风格,虽然彰显了作者对自身理论的绝对自信,却也无形中筑起了一道高墙,将那些尚未完全进入“领域黑话”体系的读者拒之门外。这本书更像是一本研究者之间的“内部参考手册”,而非面向广泛科学爱好者的科普读物。

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这本书的语气和作者的“学术姿态”,我个人觉得略显高傲,甚至可以说,带有一种不容置疑的“宣言式”口吻。它并非在探讨一个开放性的科学问题,而更像是在陈述一个已经板上钉钉的、由作者团队主导的、无可辩驳的结论。在论证过程中,对于持不同观点的其他学派的研究成果,处理方式大多是轻描淡写地提及,然后迅速将其归类为“过时的”或“局限性的”,随后便不再深究。这种“一言堂”式的写作风格,虽然能给人一种极强的掌控感,但同时也抑制了读者的批判性思维。我希望能看到更多关于“争议点”的深入辩论,或是对不同模型优劣势的平衡分析。当一本书只呈现“最优解”而避谈“次优解”的困境时,它在培养下一代科学家的能力上,总感觉少了一份必要的思辨训练。这本书在技术细节上无可挑剔,但在“科学精神的多元性展现”方面,略显单薄。

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