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02928nam a22003135i 4500 |
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000288478 |
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20210831110448.0 |
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cr nn 008mamaa |
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161027s2017 xxu| s |||| 0|eng d |
| 020 |
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|a 9781493964062
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| 024 |
7 |
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|a 10.1007/978-1-4939-6406-2
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
1 |
0 |
|a Prediction of Protein Secondary Structure /
|c edited by Yaoqi Zhou, Andrzej Kloczkowski, Eshel Faraggi, Yuedong Yang.
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| 250 |
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|a 1st ed. 2017.
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| 260 |
# |
# |
|a New York, NY :
|b Springer New York :
|b Imprint: Humana,
|c 2017.
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| 300 |
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|a XI, 313 p. 67 illus., 56 illus. in color. :
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Methods in Molecular Biology,
|v 1484
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| 505 |
0 |
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|a Where the Name “GOR” Originates: A Story -- The GOR Method of Protein Secondary Structure Prediction and Its Application as a Protein Aggregation Prediction Tool -- Consensus Prediction of Charged Single Alpha-Helices with CSAHserver -- Predicting Protein Secondary Structure Using Consensus Data Mining (CDM) Based on Empirical Statistics and Evolutionary Information -- Accurate Prediction of One-Dimensional Protein Structure Features Using SPINE-X -- SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks -- Backbone Dihedral Angle Prediction -- One-Dimensional Structural Properties of Proteins in the Coarse-Grained CABS Model -- Assessing Predicted Contacts for Building Protein Three-Dimensional Models -- Fast and Accurate Accessible Surface Area Prediction Without a Sequence Profile -- How to Predict Disorder in a Protein of Interest -- Intrinsic Disorder and Semi-Disorder Prediction by SPINE-D -- Predicting Real-Valued Protein Residue Fluctuation Using FlexPred -- Prediction of Disordered RNA, DNA, and Protein Binding Regions Using DisoRDPbind -- Sequence-Based Prediction of RNA-Binding Residues in Proteins -- Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein-Protein Complexes -- In Silico Prediction of Linear B-Cell Epitopes on Proteins -- Prediction of Protein Phosphorylation Sites by Integrating Secondary Structure Information and Other One-Dimensional Structural Properties -- Predicting Post-Translational Modifications from Local Sequence Fragments Using Machine Learning Algorithms: Overview and Best Practices -- CX, DPX, and PCW: Web Servers for the Visualization of Interior and Protruding Regions of Protein Structures in 3D and 1D.
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| 650 |
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0 |
|a Proteins .
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| 650 |
1 |
4 |
|a Protein Science.
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| 700 |
1 |
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|a Zhou, Yaoqi.
|e editor.
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| 700 |
1 |
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|a Kloczkowski, Andrzej.
|e editor.
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| 700 |
1 |
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|a Faraggi, Eshel.
|e editor.
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| 700 |
1 |
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|a Yang, Yuedong.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
|