Identification and Characterization of Hypothetical Proteins to Identify Drug Designing Targets Associated with Cardiovascular Disease

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Abstract Aim: This study reports structural modeling, and molecular dynamics profiling of hypothetical proteins in Chlamydia pneumoniae genome database. Methodology: The hypothetical protein sequences were extracted from Genome Database of Chlamydia pneumoniae for functional elucidation using computational approaches. Results: Host-pathogen interactions are essential for understanding the mechanisms of infection, and for implementing innovative disease treatment and prevention for infectious diseases. Here, we have identified sixty proteins in C. pneumoniae with their roles in defense, binding, and transporting other biomolecules. We were able to successfully model the 3D structures of four proteins (WP_010883055.1, WP_010882778.1, WP_010883013.1, and WP_010883429.1) using comparative structural methods by selecting suitable templates. The conserved active sites, stability of these proteins, and possible roles in the regulation of different pathways were also validated using database and software tools for data collection, integration, and analysis of host-pathogen interaction. Conclusions: The novel annotations presented in this study have the potential to significantly contribute to our understanding of disease mechanisms at the molecular level, particularly in relation to C. pneumoniae. These findings not only shed light on the intricate workings of the pathogen but also offer valuable insights into potential targets for the development of new drugs.
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Identification and Characterization of Hypothetical Proteins to Identify Drug Designing Targets Associated with Cardiovascular Disease | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Identification and Characterization of Hypothetical Proteins to Identify Drug Designing Targets Associated with Cardiovascular Disease Ranu Dutta, Nishant Gaur, Debprasad Chattopadhyay This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3135691/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Aim: This study reports structural modeling, and molecular dynamics profiling of hypothetical proteins in Chlamydia pneumoniae genome database. Methodology: The hypothetical protein sequences were extracted from Genome Database of Chlamydia pneumoniae for functional elucidation using computational approaches. Results: Host-pathogen interactions are essential for understanding the mechanisms of infection, and for implementing innovative disease treatment and prevention for infectious diseases. Here, we have identified sixty proteins in C. pneumoniae with their roles in defense, binding, and transporting other biomolecules. We were able to successfully model the 3D structures of four proteins (WP_010883055.1, WP_010882778.1, WP_010883013.1, and WP_010883429.1) using comparative structural methods by selecting suitable templates. The conserved active sites, stability of these proteins, and possible roles in the regulation of different pathways were also validated using database and software tools for data collection, integration, and analysis of host-pathogen interaction. Conclusions: The novel annotations presented in this study have the potential to significantly contribute to our understanding of disease mechanisms at the molecular level, particularly in relation to C. pneumoniae. These findings not only shed light on the intricate workings of the pathogen but also offer valuable insights into potential targets for the development of new drugs. Health sciences/Cardiology Health sciences/Cardiology/Cardiovascular biology C. pneumoniae hypothetical proteins Cardiovascular Diseases Chronic obstructive pulmonary disease (COPD) Molecular Dynamic Simulation Full Text Additional Declarations There is NO Competing Interest. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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