Academic literature on the topic 'Sequence-Structure relationship'
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Journal articles on the topic "Sequence-Structure relationship"
Dosztanyi, Z. "Servers for sequence-structure relationship analysis and prediction." Nucleic Acids Research 31, no. 13 (July 1, 2003): 3359–63. http://dx.doi.org/10.1093/nar/gkg589.
Full textMorris, Kyle L., Alison Rodger, Matthew R. Hicks, Maya Debulpaep, Joost Schymkowitz, Frederic Rousseau, and Louise C. Serpell. "Exploring the sequence–structure relationship for amyloid peptides." Biochemical Journal 450, no. 2 (February 15, 2013): 275–83. http://dx.doi.org/10.1042/bj20121773.
Full textSadowski, M. I., and D. T. Jones. "The sequence–structure relationship and protein function prediction." Current Opinion in Structural Biology 19, no. 3 (June 2009): 357–62. http://dx.doi.org/10.1016/j.sbi.2009.03.008.
Full textNekrasov, Alexei N., Yuri P. Kozmin, Sergey V. Kozyrev, Rustam H. Ziganshin, Alexandre G. de Brevern, and Anastasia A. Anashkina. "Hierarchical Structure of Protein Sequence." International Journal of Molecular Sciences 22, no. 15 (August 3, 2021): 8339. http://dx.doi.org/10.3390/ijms22158339.
Full textNakamura, Shugo, and Kentaro Shimizu. "2P004 Analysis of sequence-structure relationship of protein loop regions(Proteins-structure and structure-function relationship,Poster Presentations)." Seibutsu Butsuri 47, supplement (2007): S114. http://dx.doi.org/10.2142/biophys.47.s114_1.
Full textKuroda, D., H. Shirai, M. Kobori, and H. Nakamura. "Relationship between sequence and structure of CDR-H3 in antibodies." Acta Crystallographica Section A Foundations of Crystallography 64, a1 (August 23, 2008): C228. http://dx.doi.org/10.1107/s0108767308092684.
Full textKrissinel, E. "On the relationship between sequence and structure similarities in proteomics." Bioinformatics 23, no. 6 (January 22, 2007): 717–23. http://dx.doi.org/10.1093/bioinformatics/btm006.
Full textSong, Jianxing. "Environment-transformable sequence–structure relationship: a general mechanism for proteotoxicity." Biophysical Reviews 10, no. 2 (December 4, 2017): 503–16. http://dx.doi.org/10.1007/s12551-017-0369-0.
Full textMansiaux, Yohann, Agnel Praveen Joseph, Jean-Christophe Gelly, and Alexandre G. de Brevern. "Assignment of PolyProline II Conformation and Analysis of Sequence – Structure Relationship." PLoS ONE 6, no. 3 (March 31, 2011): e18401. http://dx.doi.org/10.1371/journal.pone.0018401.
Full textLeopold, P. E., M. Montal, and J. N. Onuchic. "Protein folding funnels: a kinetic approach to the sequence-structure relationship." Proceedings of the National Academy of Sciences 89, no. 18 (September 15, 1992): 8721–25. http://dx.doi.org/10.1073/pnas.89.18.8721.
Full textDissertations / Theses on the topic "Sequence-Structure relationship"
Wang, Pam Shou-Ping. "Exploring the sequence-structure-function relationship in beta-peptide foldamers." Thesis, Yale University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3580893.
Full textThe interplay between sequence, structure and function is an underlying theme in biological systems. Proteins, in particular, have evolved the ability to access a virtually infinite set of three-dimensional architectures from a small collection of building blocks; it is precisely this complexity of form that finely tunes their functional specificity. β-Peptides are a class of unnatural polyamides known to adopt structural motifs that are in many ways reminiscent of protein folds in nature. This dissertation first investigates the relationship between sequence and structure in self-assembling β-peptides, then demonstrates how the latter translates into function.
Chapter 1 provides an overview of the fundamental principles guiding β-peptide helix formation and self-assembly, and describes their applications both within and outside of the biological context. The ability of β-peptides to mimic natural α-helices while maintaining proteolytic resistance allows them to serve as therapeutic agents by targeting, for example, protein-protein interactions. Their unique stability in both aqueous and organic environments further enables the development of β-peptide-based nanomaterials and organocatalysts.
Chapter 2 elucidates the relationship between β-peptide primary sequence and quaternary structure based on the biophysical characterization of the Acid-3Y bundle. Acid-3Y was designed by substituting isoleucine for leucine side-chains in the sequence of the previously characterized octamer, Acid-1Y. The finding that Acid-3Y assembles into a tetrameric bundle suggests that branching at the γ-carbon of hydrophobic residues plays a critical role in determining β-peptide bundle stoichiometry.
Chapter 3 explores the potential of β-peptide bundles to mimic enzyme structure and function. The demonstration of β-peptide mutarotase activity in benzene highlights the importance of macromolecular preorganization in catalysis, while the ability of rationally designed β-peptide bundles to catalyze ester hydrolysis in water represents a crucial step towards the functionalization of these unnatural macromolecules. The dependence of catalytic activity on both active site geometry and bundle assembly, together with their substrate selectivity, underscores the unique biomimetic capacity of β-peptides.
Chapter 4 describes the rational design of a β-peptide ligand for the parathyroid hormone 1 receptor (PTH1R). Using previous strategies that led to the identification of p53 and GLP-1 mimics, a 12-member β-peptide library was constructed and tested in vitro for binding to the receptor protein. Although no hits were found from this initial screen, subsequently designed α/β-peptide chimeras showed promise as synthetic antagonists of PTH1R with improved pharmacokinetic properties.
Chapter 5 summarizes the key results of this dissertation and offers a perspective on possible future research directions. A breakthrough in the field of β-peptides would rely on the development of a method to synthesize genuine "β-proteins" with more sophisticated structure and function.
Mokrab, Younes. "Insights into sequence-structure relationship in helical transmembrane proteins : application to comparative modeling." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611915.
Full textViklund, Håkan. "Formalizing life : Towards an improved understanding of the sequence-structure relationship in alpha-helical transmembrane proteins." Doctoral thesis, Stockholm University, Department of Biochemistry and Biophysics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-7144.
Full textGenes coding for alpha-helical transmembrane proteins constitute roughly 25% of the total number of genes in a typical organism. As these proteins are vital parts of many biological processes, an improved understanding of them is important for achieving a better understanding of the mechanisms that constitute life.
All proteins consist of an amino acid sequence that fold into a three-dimensional structure in order to perform its biological function. The work presented in this thesis is directed towards improving the understanding of the relationship between sequence and structure for alpha-helical transmembrane proteins. Specifically, five original methods for predicting the topology of alpha-helical transmembrane proteins have been developed: PRO-TMHMM, PRODIV-TMHMM, OCTOPUS, Toppred III and SCAMPI.
A general conclusion from these studies is that approaches that use multiple sequence information achive the best prediction accuracy. Further, the properties of reentrant regions have been studied, both with respect to sequence and structure. One result of this study is an improved definition of the topological grammar of transmembrane proteins, which is used in OCTOPUS and shown to further improve topology prediction. Finally, Z-coordinates, an alternative system for representation of topological information for transmembrane proteins that is based on distance to the membrane center has been introduced, and a method for predicting Z-coordinates from amino acid sequence, Z-PRED, has been developed.
Viklund, Håkan. "Formalizing life : towards an improved understanding of the sequence-structure relationship in alpha-helical transmembrane proteins /." Stockholm : Department of Biochemistry and Biophysics, Stockholm University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-7144.
Full textZheng, Ying. "Functional divergence after gene duplication and sequence-structure relationship a case-study of G-protein alpha subunits /." [Ames, Iowa : Iowa State University], 2007.
Find full textShafqat, Naeem. "Substrate specificities and functional properties of human short-chain dehydrogenases/reductases /." Stockholm, 2004. http://diss.kib.ki.se/2004/91-7349-829-7.
Full textChevallier, Sylvie. "Relations structure-fonction de l'oligopeptidase proline-spécifique (EC 3. 4. 21. 26) de Flavobacterium meningosepticum." Grenoble 1, 1993. http://www.theses.fr/1993GRE10076.
Full textVignoud, Lucile. "Étude du rôle des motifs NPXY dans la fonction de l'intégrine alpha 5/beta 1." Grenoble 1, 1996. http://www.theses.fr/1996GRE10274.
Full textLombard, Valentin. "Geometric deep manifold learning combined with natural language processing for protein movies." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS379.
Full textProteins play a central role in biological processes, and understanding how they deform and move is essential to elucidating their functional mechanisms. Despite recent advances in high-throughput technologies, which have broadened our knowledge of protein structures, accurate prediction of their various conformational states and motions remains a major challenge. We present two complementary approaches to address the challenge of understanding and predicting the full range of protein conformational variability. The first approach, Dimensionality Analysis for protein Conformational Exploration (DANCE) for a systematic and comprehensive description of protein families conformational variability. DANCE accommodates both experimental and predicted structures. It is suitable for analyzing anything from single proteins to superfamilies. Employing it, we clustered all experimentally resolved protein structures available in the Protein Data Bank into conformational collections and characterized them as sets of linear motions. The resource facilitates access and exploitation of the multiple states adopted by a protein and its homologs. Beyond descriptive analysis, we assessed classical dimensionality reduction techniques for sampling unseen states on a representative benchmark. This work improves our understanding of how proteins deform to perform their functions and opens ways to a standardized evaluation of methods designed to sample and generate protein conformations. The second approach relies on deep learning to predict continuous representations of protein motion directly from sequences, without the need for structural data. This model, SeaMoon, uses protein language model (pLM) embeddings as inputs to a lightweight convolutional neural network with around 1 million trainable parameters. SeaMoon achieves a success rate of 40% when evaluated against around 1,000 collections of experimental conformations, capturing movements beyond the reach of traditional methods such as normal mode analysis, which relies solely on 3D geometry. In addition, SeaMoon generalizes to proteins that have no detectable sequence similarity with its training set and can be easily retrained with updated pLMs. These two approaches offer a unified framework for advancing our understanding of protein dynamics. DANCE provides a detailed exploration of protein movements based on structural data, while SeaMoon demonstrates the potential of sequence-based deep learning models to capture complex movements without relying on explicit structural information. Together, they pave the way for a more comprehensive understanding of protein conformational variability and its role in biological function
Pauly, Marc. "Etude structurale et fonctionnelle de la sequence tata du promoteur precoce du virus simien sv40." Université Louis Pasteur (Strasbourg) (1971-2008), 1989. http://www.theses.fr/1989STR13043.
Full textBooks on the topic "Sequence-Structure relationship"
International Symposium on Protein Structure-Function Relationship (1988 Karachi, Pakistan). Protein structure-function relationship: Proceedings of the International Symposium on Protein Structure-Function Relationship, held in Karachi, Pakistan, 18-20 January 1988, and of the Protein Sequencing Workshop, held subsequently in Karachi, Pakistan, 21-30 January 1988. Edited by Zaidi Zafar H and Protein Sequencing Workshop (1988 : Karachi, Pakistan). Amsterdam: Elsevier Science Publishers, 1988.
Find full textW, Shriver John, ed. Protein structure, stability, and interactions. New York, N.Y: Humana, 2009.
Find full textHarren, Jhoti, and Leach Andrew R, eds. Structure-based drug discovery. Dordrecht: Springer, 2007.
Find full textI, Chasman Daniel, ed. Protein structure: Determination, analysis, and applications for drug discovery. New York: Marcel Dekker, 2003.
Find full textNir, Ben-Tal, ed. Introduction to proteins: Structure, function, and motion. Boca Raton, FL: CRC Press, 2011.
Find full textProtein Structure Determination. Wiley-Interscience, 1991.
Find full textR, Leach· Andrew, and Harren Jhoti. Structure-based Drug Discovery. Springer, 2010.
Find full text(Editor), Harren Jhoti, and Andrew R. Leach (Editor), eds. Structure-based Drug Discovery. Springer, 2007.
Find full textChasman, Daniel. Protein Structure: Determination, Analysis, and Applications for Drug Discovery. Taylor & Francis Group, 2003.
Find full textChasman, Daniel. Protein Structure: Determination, Analysis, and Applications for Drug Discovery. Taylor & Francis Group, 2003.
Find full textBook chapters on the topic "Sequence-Structure relationship"
Lesk, Arthur M. "Proteins: Relationship Among Divergence of Sequence, Structure, and Function." In Encyclopedia of Biophysics, 2101–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-16712-6_145.
Full textHolder, Jerry Ryan, Rayna M. Bauzo, Zhimin Xiang, and Carrie Haskell-Luevano. "Structure-Activity Relationship Studies (SAR) of Melanocortin Agonists Central His-Phe-Arg-Trp Sequence." In Peptides: The Wave of the Future, 706–7. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0464-0_329.
Full textJi, Rongju, and Haoqi Ren. "A New Prefetching Unit for Digital Signal Processor." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 928–35. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_94.
Full textUpadhyay, Upashna, Poonam Kaithal, Preetam Verma, Rohit Lall, and Poonam Singh. "Analysis of Pectin in Different Citrus Fruits and Evolutionary Relationship." In Proceedings of the Conference BioSangam 2022: Emerging Trends in Biotechnology (BIOSANGAM 2022), 268–75. Dordrecht: Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-020-6_26.
Full textSong, Zhiyu, Yafei Zhai, and Guangkun Liu. "Analysis of Dynamic Response Characteristics of Towering Intake Towers Under the Action of Main-Aftershock Sequences." In Lecture Notes in Civil Engineering, 247–57. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-9184-2_22.
Full textStoeva, Stanka, Krasimira Idakieva, Wolfgang Voelter, and Nicolay Genov. "Isolation, Characterization and Amino Acid Sequence of the N-Terminal Functional Unit from the Rapana thomasiana grosse (Marine Snail, Gastropod) Hemocyanin." In Protein Structure — Function Relationship, 237–48. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0359-6_24.
Full textHunter, C. A., and M. J. Packer. "Computational Approaches to Predicting Sequence-Structure Relationships in DNA." In Solid Mechanics and Its Applications, 447–56. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9930-6_34.
Full textSteipe, Boris, and Bhooma Thiruv. "schematikon: Detailed Sequence-Structure Relationships from Mining a Non-redundant Protein Structure Database." In Bioinformatics Research and Applications, 357–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08171-7_32.
Full textHoward, S. P., and L. Lindsay. "Structure/Function Relationships in the Signal Sequence of the Colicin A Lysis Protein." In Bacteriocins, Microcins and Lantibiotics, 317–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76974-0_28.
Full textEstess, Pila, Ann B. Begovich, Patricia P. Jones, and Hugh O. McDevitt. "Structure/Function Relationships Among Murine Class II Molecules: Sequence Analysis of I-A cDNA Clones." In Regulation of Immune Gene Expression, 3–19. Totowa, NJ: Humana Press, 1986. http://dx.doi.org/10.1007/978-1-4612-5014-2_1.
Full textConference papers on the topic "Sequence-Structure relationship"
Li, Minghui, Lei Lin, Xiaolong Wang, Qiwen Dong, and Tao Liu. "Study on Relationship between Protein Sequence Pattern and Protein Secondary Structure." In 2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1615533.
Full textNicosia, Giuseppe, Eva Sciacca, and Luca Zammataro. "Detecting constituent sequences by means of HP pattern-based grammars to synthesize proteins: Inferring sequence-structure-function relationship." In 2007 IEEE International Conference on Bioinformatics and Biomedicine Workshops. IEEE, 2007. http://dx.doi.org/10.1109/bibmw.2007.4425400.
Full textJenewein, Oswald. "Designing Towards Ecological Environments: A Modular Approach to Structure a Design Studio Sequence." In 2019 ACSA Teachers Conference. ACSA Press, 2019. http://dx.doi.org/10.35483/acsa.teach.2019.53.
Full textGrzebieta, Raphael, David Young, Andrew McIntosh, and Michael Bambach. "Occupant Injuries and Roof Strength in Rollover Crashes." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-68739.
Full textRamaswamy, Shri, Shuiyuan Huang, Amit Goel, Aron Cooper, Doeung Choi, A. Bandyopadhyay, and B. V. Ramarao. "The 3D Structure of Paper and its Relationship to Moisture Transport in Liquid and Vapor Forms." In The Science of Papermaking, edited by C. F. Baker. Fundamental Research Committee (FRC), Manchester, 2001. http://dx.doi.org/10.15376/frc.2001.2.1289.
Full textSonalkar, Neeraj, Kathryn Jablokow, Jonathan Edelman, Ade Mabogunje, and Larry Leifer. "Design Whodunit: The Relationship Between Individual Characteristics and Interaction Behaviors in Design Concept Generation." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68239.
Full textMiwa, Toshiharu, Hideki Aoyama, and Kosuke Ishii. "Probabilistic Evaluation of Product Development Task Planning Using Worth Flow Analysis." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49142.
Full textWang, Tianming, Xiaojun Wan, and Shaowei Yao. "Better AMR-To-Text Generation with Graph Structure Reconstruction." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/542.
Full textGanian, Robert, Viktoriia Korchemna, and Stefan Szeider. "Revisiting Causal Discovery from a Complexity-Theoretic Perspective." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. California: International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/374.
Full textQiao, Jie, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, and Zhifeng Hao. "Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/633.
Full textReports on the topic "Sequence-Structure relationship"
Montville, Thomas J., and Roni Shapira. Molecular Engineering of Pediocin A to Establish Structure/Function Relationships for Mechanistic Control of Foodborne Pathogens. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568088.bard.
Full textMevarech, Moshe, Jeremy Bruenn, and Yigal Koltin. Virus Encoded Toxin of the Corn Smut Ustilago Maydis - Isolation of Receptors and Mapping Functional Domains. United States Department of Agriculture, September 1995. http://dx.doi.org/10.32747/1995.7613022.bard.
Full textMcElwain, Terry, Eugene Pipano, Guy Palmer, Varda Shkap, Stephen Hines, and Douglas Jasmer. Protection of Cattle Against Babesiosis: Immunization with Recombinant DNA Derived Apical Complex Antigens of Babesia bovis. United States Department of Agriculture, June 1995. http://dx.doi.org/10.32747/1995.7612835.bard.
Full textFunkenstein, Bruria, and Cunming Duan. GH-IGF Axis in Sparus aurata: Possible Applications to Genetic Selection. United States Department of Agriculture, November 2000. http://dx.doi.org/10.32747/2000.7580665.bard.
Full textHunter, Fraser, and Martin Carruthers. Iron Age Scotland. Society for Antiquaries of Scotland, September 2012. http://dx.doi.org/10.9750/scarf.09.2012.193.
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