Academic literature on the topic 'Residue conservation; Protein folding'
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Journal articles on the topic "Residue conservation; Protein folding"
de Haard, H. J., B. Kazemier, A. van der Bent, P. Oudshoorn, P. Boender, B. van Gemen, J. W. Arends, and H. R. Hoogenboom. "Absolute conservation of residue 6 of immunoglobulin heavy chain variable regions of class IIA is required for correct folding." Protein Engineering Design and Selection 11, no. 12 (December 1, 1998): 1267–76. http://dx.doi.org/10.1093/protein/11.12.1267.
Full textLiu, Xinsheng, Jing Li, Wanlin Guo, and Wei Wang. "A new method for quantifying residue conservation and its applications to the protein folding nucleus." Biochemical and Biophysical Research Communications 351, no. 4 (December 2006): 1031–36. http://dx.doi.org/10.1016/j.bbrc.2006.10.157.
Full textSergel, Theresa A., Lori W. McGinnes, and Trudy G. Morrison. "Mutations in the Fusion Peptide and Adjacent Heptad Repeat Inhibit Folding or Activity of the Newcastle Disease Virus Fusion Protein." Journal of Virology 75, no. 17 (September 1, 2001): 7934–43. http://dx.doi.org/10.1128/jvi.75.17.7934-7943.2001.
Full textToofanny, Rudesh D., Sara Calhoun, Amanda L. Jonsson, and Valerie Daggett. "Shared unfolding pathways of unrelated immunoglobulin-like β-sandwich proteins." Protein Engineering, Design and Selection 32, no. 7 (July 2019): 331–45. http://dx.doi.org/10.1093/protein/gzz040.
Full textMichnick, Stephen W., and Eugene Shakhnovich. "A strategy for detecting the conservation of folding-nucleus residues in protein superfamilies." Folding and Design 3, no. 4 (August 1998): 239–51. http://dx.doi.org/10.1016/s1359-0278(98)00035-2.
Full textLarson, Stefan M., Ingo Ruczinski, Alan R. Davidson, David Baker, and Kevin W. Plaxco. "Residues participating in the protein folding nucleus do not exhibit preferential evolutionary conservation." Journal of Molecular Biology 316, no. 2 (February 2002): 225–33. http://dx.doi.org/10.1006/jmbi.2001.5344.
Full textJain, Rohit, Khaja Muneeruddin, Jeremy Anderson, Michael J. Harms, Scott A. Shaffer, and C. Robert Matthews. "A conserved folding nucleus sculpts the free energy landscape of bacterial and archaeal orthologs from a divergent TIM barrel family." Proceedings of the National Academy of Sciences 118, no. 17 (April 19, 2021): e2019571118. http://dx.doi.org/10.1073/pnas.2019571118.
Full textCagiada, Matteo, Kristoffer E. Johansson, Audrone Valanciute, Sofie V. Nielsen, Rasmus Hartmann-Petersen, Jun J. Yang, Douglas M. Fowler, Amelie Stein, and Kresten Lindorff-Larsen. "Understanding the Origins of Loss of Protein Function by Analyzing the Effects of Thousands of Variants on Activity and Abundance." Molecular Biology and Evolution 38, no. 8 (March 29, 2021): 3235–46. http://dx.doi.org/10.1093/molbev/msab095.
Full textKagami, Luciano Porto, Gabriele Orlando, Daniele Raimondi, Francois Ancien, Bhawna Dixit, Jose Gavaldá-García, Pathmanaban Ramasamy, Joel Roca-Martínez, Konstantina Tzavella, and Wim Vranken. "b2bTools: online predictions for protein biophysical features and their conservation." Nucleic Acids Research 49, W1 (May 31, 2021): W52—W59. http://dx.doi.org/10.1093/nar/gkab425.
Full textMalleshappa Gowder, Shambhu, Jhinuk Chatterjee, Tanusree Chaudhuri, and Kusum Paul. "Prediction and Analysis of Surface Hydrophobic Residues in Tertiary Structure of Proteins." Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/971258.
Full textDissertations / Theses on the topic "Residue conservation; Protein folding"
Livingstone, Craig David. "Pattern recognition and protein structure prediction from aligned amino acid sequences." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297307.
Full textValdar, William Seth Jermy. "Residue conservation in the prediction of protein-protein interfaces." Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246927.
Full textChan, Pedro. "A computational investigation of solubility, functionality and the adaptation in subcellular compartments of proteins." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/a-computational-investigation-of-solubility-functionality-and-the-adaptation-in-subcellular-compartments-of-proteins(29ba40c2-0e8b-459a-803b-529da885289a).html.
Full textCarstensen, Linn [Verfasser], and Reinhard [Akademischer Betreuer] Sterner. "Conservation of the folding mechanism between a thermostable (βα)8-barrel enzyme, its evolutionary relatives, and ancestral precursors generated by protein design / Linn Carstensen. Betreuer: Reinhard Sterner." Regensburg : Universitätsbibliothek Regensburg, 2012. http://d-nb.info/1027850332/34.
Full textHuang, Yu-Wen, and 黃郁文. "On the relationship between structural packing and residue conservation in protein-protein interfaces." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/h5q83x.
Full text國立交通大學
生物資訊及系統生物研究所
105
Proteins interact with other proteins to perform their biological functions. Thus, the knowledge of protein-protein interfaces is valuable in understanding molecular mechanisms. Recently, we have observed that structural packing profiles of proteins have moderate correlations with their corresponding conservation profiles. However, some proteins were found to have low correlations between these two profiles, where structural packing profiles of the proteins were computed using a weighted contact number (WCN) model with the structures of single proteins. To better understand the characteristics in protein-protein interfaces, we explored the relationship between structural packing and residue conservation in protein-protein interfaces from 344 non-homologous subunits of 328 enzymes complexes. These subunits compose three datasets: Set I, Set A, and Set B. In Set A, catalytic sites of complexes are in the interfaces and consist of residues from multiple subunits; in Set B, catalytic sites of complexes are not in the interfaces and consist of residues from single subunits. We found that interface residues in three datasets tend to have high WCN scores (i.e., low structural packing). However, interface residues of Set B tend to have high conservation scores (i.e., lowly conserved). The tendency is different from those of the other datasets. This could be that complexes of Set B have weaker functional and structural constraints on their evolutionary processes than those of the other datasets in the condition that the enzymatic functions of the complexes are maintained. Surprisingly, the results show that the interface residues have distinct distributions of differences between the WCN scores and the conservation scores from the non-interface residues. Also, the WCN scores of the interface residues tend to be higher than their corresponding conservation scores. Furthermore, using a difference between a WCN score and a conservation score of a residue to detect the protein-protein interfaces, noteworthy sensitivity was obtained. This study provides interface properties in structural packing and residue conservation and elucidates the relationship between the structural packing and the residue conservation in interfaces of individual subunits.
Lin, Yu-Feng, and 林玉鳳. "On the relationship between protein structures, packing density, and residue conservation of protein domains." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/3f7uch.
Full text國立交通大學
生物資訊及系統生物研究所
105
During evolution, substitutions at individual residues within amino acid sequences arise under the constraints of structure folding, protein function, and the protein–protein interactions. Amino acid sequences generally fold into unique, stable, and well-ordered conformations so that the resulting proteins can carry out their specific functions. As such, residues that are important for function and structural stabilization are generally highly conserved in terms of both sequence and structure. Recent studies have discussed the structural constraints imparted by site-specific substitutions, and amino acid sequence conservation was found to correlate with solvent accessibility and the local packing density such as weighted contact number. The relationship between sequence conservation, site-specific substitution rates derived from multiple sequence alignment, and the weighted contact number, local packing density derived from three-dimensional structure, revealed that the evolution constraint of protein sequence and structure properties were correlated. In this study, we assessed the relationship between the packing density profiles drawn out from similar protein domain structures in SCOP superfamily with the relationship of remote homologs, and the results showed that similar structures had similar weighted contact number profiles, and demonstrated that the packing density profiles could reflect the structural constraints. Then, we compared the site-specific substitution rate profiles of two proteins and their structures, and the results showed that similar conservation profiles could be linked to similar structures. The evolution constraints of protein sequence and structure were not only related to each other in a protein, but also were interrelated in different proteins. The protein sequence and structure restricted by evolution constraints lead to that the binding regions tend to be conserved in sequence and structure and the interacting residues involved are usually in close three-dimensional space. In this study, we analyzed the protein structure, local packing density and residue constitute of metal ion-binding sites, including Ca2+, Cu2+, Cu+, Fe3+, Fe2+, Mg2+, Mn2+, Zn2+, Cd2+, Ni2+, Hg2+, and Co2+. The analysis of local packing density of metal ion-binding sites revealed that the metal ion-binding sites tend to be more crowded in proteins. Our result showed that the distributions of local packing density of metal ion-binding residues were distinct from those of non-metal ion-binding residues. The results showed that there were distinct different binding patterns of these twelve kinds of metal ion-binding sites, indicating the conservation of structure and sequence in metal ion-binding residues. According to the conserved patterns of structure and residue, we further developed a method to predict the metal ion-binding residues and build the model of metal ions docking by using fragment transformation method, and built up the MIB server (Metal Ion Binding sites prediction and docking server, http://bioinfo.cmu.edu.tw/MIB/) for not only twelve metal ion–binding sites prediction but also metal ions docking.
Chen, Ya-Ping, and 陳雅萍. "Analyzing the Impacts of Sequence Conservation on Protein RNA-binding Residue Prediction." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/21582511879129142405.
Full text國立臺灣大學
工程科學及海洋工程學研究所
99
Protein-RNA interactions play a vital role in many stages of gene expression such as pre-mRNA synthesis, mRNA splicing and translation. It is generally believed that binding domains or binding motifs enable RNA-binding proteins to recognize their target RNA. Since the corresponding nucleic acid type and the structure level recognized can be quite diverse, predicting RNA-binding residues from primary structure of proteins is indeed a challenging task. In this thesis, we continue the work of ProteRNA and develop two classifiers, namely support vector machine (SVM) and random forests (RF), with the predicted protein disorder added as a new feature descriptor. For the post-processing procedure, we build a discriminator in order to improve the pattern quality by distinguishing RNA-binding residues from other functionally important ones in conserved regions. When considering the dataset preparation effects and variance in binding sites, the two classifiers achieve Matthew’s correlation coefficient (MCC) of 0.5288 and 0.4698 using five-fold cross-validation. Our approach outperforms other predictors which provide online service. Testing on the independent test dataset, the SVM model achieves an accuracy of 92.12%, sensitivity of 38.10%, specificity of 97.47%, precision of 59.89%, F-score of 0.4657 and MCC of 0.4381, while the RF model ranks second only to SVM, it achieves an accuracy of 90.08%, sensitivity of 34.47%, specificity of 95.59%, precision of 43.62%, F-score of 0.3851 and MCC of 0.3346. We observe the measure trend in machine learning methods for datasets based on different sequence identities, and discuss the origin of performance increment and bottleneck. We find out that the homologous sequence, or even remote homologous in the same dataset as query sequence will probably make prediction result closer to the distribution of real binding sites. Besides, a method that identifies the nearest neighbor by sequence alignment and determines its binding residues accordingly may perform better than machine learning methods trained on PSSM in some cases. Nevertheless, when dealing with novel protein sequences, the excellent performance of machine learning methods shows great generalization ability.
Book chapters on the topic "Residue conservation; Protein folding"
Neumaier, Arnold, Stefan Dallwig, Waltraud Huyer, and Hermann Schichl. "New Techniques for the Construction of Residue Potentials for Protein Folding." In Computational Molecular Dynamics: Challenges, Methods, Ideas, 212–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58360-5_12.
Full textHinck, A. P., and W. F. Walkenhorst. "NMR and Mutagenesis Investigations of a Model Cis: Trans Peptide tsomerization Reaction: Xaa116-Pro117of Staphylococcal Nuclease and its Role in Protein Stability and Folding." In Biological NMR Spectroscopy. Oxford University Press, 1997. http://dx.doi.org/10.1093/oso/9780195094688.003.0016.
Full textRoyo, Miriam, and George Barany. "Preparation and handling of peptides containing methionine and cysteine." In Fmoc Solid Phase Peptide Synthesis. Oxford University Press, 1999. http://dx.doi.org/10.1093/oso/9780199637256.003.0008.
Full textConference papers on the topic "Residue conservation; Protein folding"
Maiti, Shyantani, and Pralay Mitra. "Protein Design Assisted Residue Conservation and Functional Stability Analysis for Bacterial Chemotaxis." In 2018 International Conference on Bioinformatics and Systems Biology (BSB). IEEE, 2018. http://dx.doi.org/10.1109/bsb.2018.8770546.
Full textHwang, Wonmuk, and Matthew J. Lang. "Mechanism of Force Generation in Kinesin Motility." In ASME 2007 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2007. http://dx.doi.org/10.1115/sbc2007-175543.
Full textPannekoek, H., M. Linders, J. Keijer, H. Veerman, H. Van Heerikhuizen, and D. J. Loskutoff. "THE STRUCTURE OF THE HUMAN ENDOTHELIAL PLASMINOGEN ACTIVATOR INHIBITOR (PAI-1) GENE: NON-RANDOM POSITIONING OF INTRONS." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1644767.
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