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標(biāo)題: Titlebook: Computational Methods for Protein Structure Prediction and Modeling; Volume 1: Basic Char Ying Xu,Dong Xu,Jie Liang Book 2007 Springer-Verl [打印本頁]

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書目名稱Computational Methods for Protein Structure Prediction and Modeling影響因子(影響力)




書目名稱Computational Methods for Protein Structure Prediction and Modeling影響因子(影響力)學(xué)科排名




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書目名稱Computational Methods for Protein Structure Prediction and Modeling網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Methods for Protein Structure Prediction and Modeling被引頻次




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書目名稱Computational Methods for Protein Structure Prediction and Modeling年度引用




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書目名稱Computational Methods for Protein Structure Prediction and Modeling讀者反饋




書目名稱Computational Methods for Protein Structure Prediction and Modeling讀者反饋學(xué)科排名





作者: Eviction    時間: 2025-3-21 22:12
French Politics, Society and Culturen the twilight zone (usually between 20 and 35% sequence similarity), we need to resort to structural alignment and comparison for a meaningful analysis. Such a structural approach can be used for classification of proteins, isolation of structural motifs, and discovery of drug targets.
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Computation of Protein Geometry and Its Applications: Packing and Function Prediction,becomes an indispensable component in studies of modern biochemistry and molecular biology. Before we discuss methods for computing the geometry of protein molecules, we first briefly describe how protein structures are obtained experimentally.
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French Politics, Society and Culturer potential functions by optimization. Applications of knowledge-based potential functions in protein-decoy discrimination, in protein-protein interactions, and in protein design are then described. Several issues of knowledge-based potential functions are finally discussed.
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A Historical Perspective and Overview of Protein Structure Prediction,answer the question of whether a single (individual) protein has a distinctive shape in three dimensions (3D), and if so, what factors determine its 3D architecture. However, during the period when Sanger was studying the primary structure of proteins, American biochemist Christian Anfinsen observed
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Empirical Force Fields, an explicit fashion. Rather, molecular mechanics (MM), which rely on potential energy functions or empirical force fields, afford the computational speed to allow for calculations on proteins along with their environment.
作者: Judicious    時間: 2025-3-23 20:18
Computational Methods for Domain Partitioning of Protein Structures,are of critical importance: their outcome defines the set of basic units upon which structural classifications are built and evolutionary analysis is performed. This is especially true nowadays in the era of structural genomics. Today there are many methods that decompose the structure into domains:
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Computational Methods for Protein Structure Prediction and ModelingVolume 1: Basic Char
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https://doi.org/10.1007/978-3-319-26977-1answer the question of whether a single (individual) protein has a distinctive shape in three dimensions (3D), and if so, what factors determine its 3D architecture. However, during the period when Sanger was studying the primary structure of proteins, American biochemist Christian Anfinsen observed
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作者: peritonitis    時間: 2025-3-25 07:01
French Politics, Society and Cultureare of critical importance: their outcome defines the set of basic units upon which structural classifications are built and evolutionary analysis is performed. This is especially true nowadays in the era of structural genomics. Today there are many methods that decompose the structure into domains:
作者: 推遲    時間: 2025-3-25 10:22
Overview of Estimation Methods,ainst which results of other methods, such as viscosity, chemical susceptibility, immune activity, crystallizability, and susceptibility to proteolysis, were compared (Mirsky and Pauling, 1936;Wu, 1931). Toward the middle of the last century, protein aggregation studies were largely left behind, as
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Knowledge-Based Energy Functions for Computational Studies of Proteins,, protein-protein interaction, and protein sequence design.We discuss in some detail the Miyazawa-Jernigan contact statistical potential, distance-dependent statistical potentials, as well as geometric statistical potentials. We also describe a geometric model for developing both linear and nonlinea
作者: CHASE    時間: 2025-3-26 12:37
Computational Methods for Domain Partitioning of Protein Structures,l is to reduce a complex protein structure to a set of simpler yet structurally meaningful units, each of which can be analyzed independently. Structural semi-independence of domains is their hallmark: domains often have compact structure and can fold or function independently. Domains can undergo s
作者: 摘要    時間: 2025-3-26 19:46
Protein Structure Comparison and Classification,d its functional role and its evolutionary origin. Sequence comparison methods are incredibly valuable for this task. However, for sequences falling in the twilight zone (usually between 20 and 35% sequence similarity), we need to resort to structural alignment and comparison for a meaningful analys
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Protein Contact Map Prediction,ein molecule in such a way that its features are easy to see and manipulate. A simple representation facilitates algorithm design for structure prediction. The simplicity of the threestate character string representation of secondary structure is part of the reason for secondary structure prediction
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Homology-Based Modeling of Protein Structure, realized once we can assign, understand, manipulate, and predict the function of these new proteins (Sanchez and Sali, 1997; Frishman et al., 2000; Domingues et al., 2000). Predicting protein function generally requires knowledge of protein three-dimensional structure (Blundell et al., 1978;Weber,
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Biological and Medical Physics, Biomedical Engineeringhttp://image.papertrans.cn/c/image/232740.jpg
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https://doi.org/10.1007/978-0-387-68372-0Biophysics; algorithms; biochemistry; bioinformatics; modeling protein structures; protein sequence; prote
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作者: cumber    時間: 2025-3-28 17:50
Local Structure Prediction of Proteins,d residues (primary structure) that arrange themselves in space to form local structures (secondary structure and supersecondary structure) and extends up to the globular threedimensional structure of a fully functional folded protein (tertiary and quaternary structure).
作者: 開始沒有    時間: 2025-3-28 22:24
Computational Methods for Protein Structure Prediction and Modeling978-0-387-68372-0Series ISSN 1618-7210 Series E-ISSN 2197-5647
作者: miscreant    時間: 2025-3-29 02:30
https://doi.org/10.1057/9780230210622d residues (primary structure) that arrange themselves in space to form local structures (secondary structure and supersecondary structure) and extends up to the globular threedimensional structure of a fully functional folded protein (tertiary and quaternary structure).
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https://doi.org/10.1007/978-3-319-26977-1 or even thousands of the 20 amino acids. During the 1950s at the dawn of modern biochemistry, an essential question for biochemists was to understand the structure and function of these polypeptide chains. The sequences of protein, also referred to as their ., determine the different chemical prope
作者: 辯論    時間: 2025-3-29 07:32

作者: 我說不重要    時間: 2025-3-29 14:53
French Politics, Society and Culture, protein-protein interaction, and protein sequence design.We discuss in some detail the Miyazawa-Jernigan contact statistical potential, distance-dependent statistical potentials, as well as geometric statistical potentials. We also describe a geometric model for developing both linear and nonlinea
作者: Facilities    時間: 2025-3-29 16:12
French Politics, Society and Culturel is to reduce a complex protein structure to a set of simpler yet structurally meaningful units, each of which can be analyzed independently. Structural semi-independence of domains is their hallmark: domains often have compact structure and can fold or function independently. Domains can undergo s
作者: 物種起源    時間: 2025-3-29 23:06

作者: 輕而薄    時間: 2025-3-30 00:36
https://doi.org/10.1057/9780230210622eir biological functions. With the amount of solved protein structures rapidly accumulating, computation of geometric properties of protein structure becomes an indispensable component in studies of modern biochemistry and molecular biology. Before we discuss methods for computing the geometry of pr
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作者: 用肘    時間: 2025-3-30 10:19
Subnational Population Estimatesein molecule in such a way that its features are easy to see and manipulate. A simple representation facilitates algorithm design for structure prediction. The simplicity of the threestate character string representation of secondary structure is part of the reason for secondary structure prediction




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