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Multistate GTPase Control Co-translational Protein Targeting: Springer Theses

Autor Xin Zhang
en Limba Engleză Hardback – 28 sep 2011
Proteins act as macromolecular machinery that mediate many diverse biological processes - the molecular mechanisms of this machinery has fascinated biologists for decades. Analysis of the kinetic and thermodynamic features of these mechanisms could reveal unprecedented aspects of how the machinery function and will eventually lead to a novel understanding of various biological processes. This dissertation comprehensively demonstrates how two universally conserved guanosine triphosphatases in the signal recognition particle and its membrane receptor maintain the efficiency and fidelity of the co-translational protein targeting process essential to all cells. A series of quantitative experiments reveal that the highly ordered and coordinated conformational states of the machinery are the key to their regulatory function. This dissertation also offers a mechanistic view of another fascinating system in which multistate protein machinery closely control critical biological processes.
Written while completing graduate work at California Institute of Technology.
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Specificații

ISBN-13: 9781441978073
ISBN-10: 1441978070
Pagini: 104
Ilustrații: VII, 96 p.
Dimensiuni: 160 x 241 x 9 mm
Greutate: 0.28 kg
Ediția:2012
Editura: Springer
Colecția Springer Theses
Seria Springer Theses

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Introduction.- A Multistep Mechanism for Assembly of the SRP-SR Complex.- Dynamics of the Transient Intermediate during SRP-SR Association.- Multiple Conformational Switches Control Cotranslational Protein Targeting.- Sequential Checkpoints Govern Substrate Selection during Cotranslational Protein Targeting.

Notă biografică

Xiu Zhang is Associate Professor at College of Artificial Intelligence at Tianjin Normal University. She received the B.Eng. and M.Eng. degrees in biomedical engineering from the Hebei University of Technology, Tianjin, China, in 2006 and 2009, respectively, and the Ph.D. degree in electrical engineering from The Hong Kong Polytechnic University, in 2012. From 2013 to 2015, she was Postdoctoral Fellow with The Hong Kong Polytechnic University. From 2015 to 2016, she was Assistant Professor at Tianjin Normal University, and since 2016, she is Associate Professor at Tianjin Normal University. Xiu Zhang is Distinguished Professor of Tianjin (Young Scholar), Thousand Talents Program (Young Scholar) of the Tianjin Municipal. Xiu Zhang' research interests are computational intelligence, wireless sensor network, wireless power transmission, and so on. She is also focused on deep learning in EEG-based emotion recognition. She has published more than fifty papers in international journals and conferences. Xin Zhang is Associate Professor at College of Electronic and Communication Engineering at Tianjin Normal University. He received the B.Sc. degree from Ludong University, in 2006, the M.Sc. degree from the Shandong University of Science and Technology, in 2009, and the Ph.D. degree from City University of Hong Kong, in 2013. Since 2015, he has been working with Tianjin Normal University. Xin Zhang' research interests are wireless networks, artificial intelligence, resource allocation, and so on. He is also focused on artificial intelligence in education such as student performance prediction and course recommendation. He has published more than forty papers in international journals and conferences. Wei Wang is Professor at College of Artificial Intelligence in Tianjin Normal University. He obtained his B.Eng. in Measuring and Controlling Technology and Instrument from University of Science and Technology Beijing in 2003, and he obtained his M.S. and Ph.D. in Measuring Technology and Instrument from Tianjin University in 2006 and 2010, respectively. From 2010 to 2012, he was Assistant Professor at Tianjin Normal University, and from 2012 to 2017, he is Associate Professor at Tianjin Normal University. Wei Wang is IEEE Senior Member and Distinguished Professor of Tianjin (Young Scholar). Wei Wang' research interests are wireless sensor networks, data stream mining, graph signal processing, few shot learning, Artificial Intelligence in Education, and so on. He is also focused on RD field especial in optic fiber sensor network. He has published more than fifty papers in international journals and conferences.

Textul de pe ultima copertă

Proteins act as macromolecular machinery that mediate many diverse biological processes - the molecular mechanisms of this machinery has fascinated biologists for decades. Analysis of the kinetic and thermodynamic features of these mechanisms could reveal unprecedented aspects of how the machinery function and will eventually lead to a novel understanding of various biological processes.
This dissertation comprehensively demonstrates how two universally conserved guanosine triphosphatases in the signal recognition particle and its membrane receptor maintain the efficiency and fidelity of the co-translational protein targeting process essential to all cells. A series of quantitative experiments reveal that the highly ordered and coordinated conformational states of the machinery are the key to their regulatory function. This dissertation also offers a mechanistic view of another fascinating system in which multistate protein machinery closely control critical biological processes.

Caracteristici

Prize-awarded thesis New research in an emerging field Interdisciplinary applications Includes supplementary material: sn.pub/extras