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Books on the topic 'Proteins - Conformation Dynamics'

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Author: Grafiati

Published: 7 September 2023

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1

Livesay, Dennis R. Protein dynamics: Methods and protocols. New York: Humana Press, 2013.

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2

Subbiah, S. Protein motions. New York: Chaoman & Hall, 1996.

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3

International Symposium on Structure and Dynamics of Nucleic Acids, Proteins, and Membranes (1986 Riva, Italy). Structure and dynamics of nucleic acids, proteins, and membranes. New York: Plenum Press, 1986.

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4

Han, Ke-li, Xin Zhang, and Ming-jun Yang, eds. Protein Conformational Dynamics. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02970-2.

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5

Rupp, Bernhard. Biomolecular crystallography. New York, NY: Garland Science, 2010.

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6

Rupp, Bernhard. Biomolecular crystallography. New York, NY: Garland Science, 2010.

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7

Course on Dynamics and the Problem of Recognition in Biological Macromolecules (2nd 1995 Erice, Italy). Dynamics and the problem of recognition in biological macromolecules. New York: Plenum Press, 1996.

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8

Xin, Zhang, Ke-li Han, and Ming-jun Yang. Protein Conformational Dynamics. Springer, 2014.

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9

Xin, Zhang, Ke-Li Han, and Ming-jun Yang. Protein Conformational Dynamics. Springer International Publishing AG, 2016.

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10

Xin, Zhang, Ke-Li Han, and Ming-jun Yang. Protein Conformational Dynamics. Springer London, Limited, 2014.

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11

Principles of Protein Structure and Dynamics. Garland Science, 2008.

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12

Livesay, Dennis R. Protein Dynamics: Methods and Protocols. Humana Press, 2016.

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13

Fuxreiter, Monika. Computational Approaches to Protein Dynamics. Taylor & Francis Group, 2014.

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14

Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods. Taylor & Francis Group, 2018.

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15

Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods. Taylor & Francis Group, 2014.

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16

Fuxreiter, Monika. Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods. Taylor & Francis Group, 2014.

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17

Fuxreiter, Monika. Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods. Taylor & Francis Group, 2014.

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18

Clementi, E., and S. Chin. Structure and Dynamics of Nucleic Acids, Proteins, and Membranes. Springer London, Limited, 2012.

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19

Structure and Dynamics of Nucleic Acids, Proteins, and Membranes. Springer, 2012.

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20

Clementi, E., and S. Chin. Structure and Dynamics of Nucleic Acids, Proteins, and Membranes. Springer, 1987.

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21

Structure and Dynamics of Nucleic Acids, Proteins, and Membranes. Springer, 2012.

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22

Lattman, Eaton E., Thomas D. Grant, and Edward H. Snell. Distinct Instrumental Approaches to SAXS. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199670871.003.0010.

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There are more specialized applications of SAXS and SANS which require specific experimental considerations. This chapter covers size exclusion chromatography which has proven to be useful to study both soluble and membrane bound proteins allowing the study of samples that show time and concentration dependent dynamics. It also describes iime-resolved techniques for SAXS and in a few cases, SANS. Finally, with improved X-ray sources, detectors, sample handling, and compute power, the ability to perform SAXS data in high-throughput is available. This is discussed in enabling the use of SAXS to study protein interactions, map macromolecular conformation, and rapidly characterize samples amongst other applications.

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23

Biomolecular Crystallography. Garland Science, 2009.

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24

Rupp, Bernhard. Biomolecular Crystallography: Principles, Practice, and Application to Structural Biology. CRC Press LLC, 2009.

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25

Lattman, Eaton E., Thomas D. Grant, and Edward H. Snell. Shape Reconstructions from Small Angle Scattering Data. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199670871.003.0004.

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This chapter discusses recovering shape or structural information from SAXS data. Key to any such process is the ability to generate a calculated intensity from a model, and to compare this curve with the experimental one. Models for the particle scattering density can be approximated as pure homogenenous geometric shapes. More complex particle surfaces can be represented by spherical harmonics or by a set of close-packed beads. Sometimes structural information is known for components of a particle. Rigid body modeling attempts to rotate and translate structures relative to one another, such that the resulting scattering profile calculated from the model agrees with the experimental SAXS data. More advanced hybrid modelling procedures aim to incorporate as much structural information as is available, including modelling protein dynamics. Solutions may not always contain a homogeneous set of particles. A common case is the presence of two or more conformations of a single particle or a mixture of oligomeric species. The method of singular value decomposition can extract scattering for conformationally distinct species.

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