Approaches to Protein Structure Prediction and Their Applications
نویسنده
چکیده
Introduction Proteins are one of the major biological macromolecules performing a variety functions such as enzymatic catalysis, transport, regulation of metabolism, nerve conduction, immune response etc. The three-dimensional structure of a protein is responsible for its function. In this paper I wish to give an overview of the need for protein structure prediction, the different approaches available as of now and their applications and limitations. Special mention is made of the utility of homology derived models in the drug discovery process.
منابع مشابه
Protein Secondary Structure Prediction: a Literature Review with Focus on Machine Learning Approaches
DNA sequence, containing all genetic traits is not a functional entity. Instead, it transfers to protein sequences by transcription and translation processes. This protein sequence takes on a 3D structure later, which is a functional unit and can manage biological interactions using the information encoded in DNA. Every life process one can figure is undertaken by proteins with specific functio...
متن کاملIn silico investigation of lactoferrin protein characterizations for the prediction of anti-microbial properties
Lactoferrin (Lf) is an iron-binding multi-functional glycoprotein which has numerous physiological functions such as iron transportation, anti-microbial activity and immune response. In this study, different in silico approaches were exploited to investigate Lf protein properties in a number of mammalian species. Results showed that the iron-binding site, DNA and RNA-binding sites, signal pepti...
متن کاملA comparison of different network based modeling methods for prediction of the torque of a SI engine equipped with variable valve timing
Nowadays, due to increasing the complexity of IC engines, calibration task becomes more severe and the need to use surrogate models for investigating of the engine behavior arises. Accordingly, many black box modeling approaches have been used in this context among which network based models are of the most powerful approaches thanks to their flexible structures. In this paper four network base...
متن کاملIn Silico Prediction and Docking of Tertiary Structure of Multifunctional Protein X of Hepatitis B Virus
Hepatitis B virus (HBV) infection is a universal health problem and may result into acute, fulminant, chronic hepatitis liver cirrhosis, or hepatocellular carcinoma. Sequence for protein X of HBV was retrieved from Uniprot database. ProtParam from ExPAsy server was used to investigate the physicochemical properties of the protein. Homology modeling was carried out using Phyre2 server, and refin...
متن کاملO-3: Drug Repositioning by Merging Gene Expression Data Analysis and Cheminformatics Target Prediction Approaches
The transcriptional responses of drug treatments combined with a protein target prediction algorithm was utilised to associate compounds to biological genomic space. This enabled us to predict efficacy of compounds in cMap and LINCS against 181 databases of diseases extracted from GEO. 18/30 of top drugs predicted for leukemia (e.g. Leflunomide and Etoposide) and breast cancer (e.g. Tamoxifen a...
متن کامل