Добірка наукової літератури з теми "In-Silico identification"
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Статті в журналах з теми "In-Silico identification"
Chen, Ping, Jun Duan, Liang Jiang, Qiong Liu, Ping Zhao, Qingyou Xia, and Huibi Xu. "In silico identification of silkworm selenoproteomes." Chinese Science Bulletin 51, no. 23 (December 2006): 2860–67. http://dx.doi.org/10.1007/s11434-006-2206-x.
Повний текст джерелаReddy, Bandi Deepa, and Ch M. Kumari Chitturi. "Screening and Identification of Microbial Derivatives for Inhibiting Legumain: An In silico Approach." Journal of Pure and Applied Microbiology 12, no. 3 (September 30, 2018): 1623–30. http://dx.doi.org/10.22207/jpam.12.3.69.
Повний текст джерелаMoss, Alan, Stephen Madden, Padraic Mac Mathuna, and Peter Doran. "In silico gene identification in colonic neoplasia." Gastroenterology 124, no. 4 (April 2003): A110. http://dx.doi.org/10.1016/s0016-5085(03)80540-1.
Повний текст джерелаEsposito, C., L. Wiedmer, and A. Caflisch. "In Silico Identification of JMJD3 Demethylase Inhibitors." Journal of Chemical Information and Modeling 58, no. 10 (September 18, 2018): 2151–63. http://dx.doi.org/10.1021/acs.jcim.8b00539.
Повний текст джерелаDuckworth, D. Malcolm, and Philippe Sanseau. "In silico identification of novel therapeutic targets." Drug Discovery Today 7, no. 11 (May 2002): S64—S69. http://dx.doi.org/10.1016/s1359-6446(02)02282-1.
Повний текст джерелаKaiser, Markus, and Christian Ottmann. "In Silico Identification of an Interferon Inhibitor." ChemMedChem 7, no. 4 (January 20, 2012): 555–57. http://dx.doi.org/10.1002/cmdc.201100579.
Повний текст джерелаSen, Madhab Kumar, Kateřina Hamouzová, Sunil Kanti Mondal, and Josef Soukup. "Identification of the optimal codons for acetolactate synthase from weeds: an in-silico study." Plant, Soil and Environment 67, No. 6 (May 21, 2021): 331–36. http://dx.doi.org/10.17221/562/2020-pse.
Повний текст джерелаSharanee Kumar, Ilakiya, Nadiah Zaharin, and Kalaivani Nadarajah. "In silico Identification of Resistance and Defense Related Genes for Bacterial Leaf Blight (BLB) in Rice." Journal of Pure and Applied Microbiology 12, no. 4 (December 30, 2018): 1867–76. http://dx.doi.org/10.22207/jpam.12.4.22.
Повний текст джерелаNimrod, G., F. Glaser, D. Steinberg, N. Ben-Tal, and T. Pupko. "In silico identification of functional regions in proteins." Bioinformatics 21, Suppl 1 (June 1, 2005): i328—i337. http://dx.doi.org/10.1093/bioinformatics/bti1023.
Повний текст джерелаSun, Pingping, Sijia Guo, Jiahang Sun, Liming Tan, Chang Lu, and Zhiqiang Ma. "Advances in In-silico B-cell Epitope Prediction." Current Topics in Medicinal Chemistry 19, no. 2 (March 28, 2019): 105–15. http://dx.doi.org/10.2174/1568026619666181130111827.
Повний текст джерелаДисертації з теми "In-Silico identification"
Tiwari, Vijay, Derek Stuffle, and Aruna Kilaru. "Identification and In-Silico Analysis of Fatty Acid Amide Hydrolases in Tomato." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/4797.
Повний текст джерелаSalentin, Sebastian. "In Silico Identification of Novel Cancer Drugs with 3D Interaction Profiling." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-226435.
Повний текст джерелаGómez-Porras, Judith Lucia. "In silico identification of genes regulated by abscisic acid in Arabidopsis thaliana (L.) Heynh." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980562899.
Повний текст джерелаSzolkiewicz, Michal Jerzy. "Homology-based in silico identification of putative protein-ligand interactions in the malaria parasite." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/41019.
Повний текст джерелаDissertation (MSc)--University of Pretoria, 2014.
gm2014
Biochemistry
unrestricted
Musyoka, Thommas Mutemi. "Combined in silico approaches towards the identification of novel malarial cysteine protease inhibitors." Thesis, Rhodes University, 2017. http://hdl.handle.net/10962/4488.
Повний текст джерелаLee, Adam. "The in silico identification and analysis of ancient and recent endogenous retroviruses in mammalian genomes." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/39972.
Повний текст джерелаTahir, Shifa. "A docking-based method for in silico epitope determination." Thesis, Tours, 2018. http://www.theses.fr/2018TOUR4008.
Повний текст джерелаThe development of therapeutic antibodies has been rapidly increasing in the last 10 years, with application to an increasing number of pathologies. The knowledge of the epitope, the region of the antigen to which the antibody binds, is crucial for understanding its functional effects. We have developed an in silico method, MAbTope, which allows the accurate prediction of the epitope, regardless of the availability of the 3D structure of the antibody of interest. This method is based on a protein-protein docking method previously developed in the BIOS group. The learning dataset was enlarged in antibody-antigen complexes, new specific scoring functions have been designed, and very importantly, the objective of machine-learning was switched from the conformational perspective towards the epitope determination perspective. We show that the resulting method allows robust and accurate prediction, whether or not the 3D structure of the antibody is available. We also show how the predictions can be easily exploited for experimental validation. Finally, we show how this method can be used for high-throughput epitope binning
Zhang, Jin. "In silico Identification of Thyroid Disrupting Chemicals : among industrial chemicals and household dust contaminants." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-125631.
Повний текст джерелаLudaka, Namhla. "Identification of biomarkers associated with cervical cancer: a combined in silico and molecular approach." University of the Western Cape, 2014. http://hdl.handle.net/11394/4363.
Повний текст джерелаCervical cancer is the leading cause of cancer mortality among black women in South Africa. It is estimated that this disease kills approximately 8 women in South Africa every day. Cervical cancer is caused by the human papillomavirus (HPV) with the most common screening method for cervical cancer being Papanicolaou (Pap) smear, test amongst others. However, less than 20% of South African women go for these tests. There are several reasons why women do not go for these tests but the invasiveness of the test is one of the major causes for the low rate of screening. Lateral flow devices offer medical diagnosis at the point- of-care, allowing for the quick initiation of the appropriate therapeutic response. These tests are more cost-effective for the healthcare delivery industry, and can potentially be used by patients to self-test in the privacy of their homes and allow them to make informed decisions about their health. Therefore, the aim of this study was to use computational methods to identify serum biomarkers for cervical cancer that can be used to develop a point-of-care diagnostic device for cervical cancer. An in silico approach was used to identify genes implicated in the initiation and development of cervical cancer. Several bioinformatics tools were employed to extract a list of genes from publicly available cancer repositories. Multiple gene enrichment analysis tools were employed to analyze the selected candidate genes. Through this pipeline, ~28190 genes were identified from the various databases and were further refined to only 10 genes. The 10 genes were identified as potential cervical cancer biomarkers. A subcellular compartmentalization analysis clustered the proteins encoded by these genes as cell surface, secretory granules and extracellular space/matrix proteins. The selected candidate genes were predicted to be specific for cervical cancer tissue in a cancer tissue specificity meta-analysis study. The expression levels of the candidate genes were compared relative to each other and a graph constructed using gene expression data generated by GeneHub-GEPIS and TiGER databases. Further gene enrichment analysis was performed such as protein-protein interactions, transcription factor analysis, pathway analysis and co-expression analysis, with 9 out of the10 of the candidate genes showing co-expression. A gene expression analysis done on cervical cancer cell lines, other cancer cell lines and normal fibroblast cell line revealed differential expression of the candidate genes. Three candidate genes were significantly expressed in cervical cancer, while the seven remaining genes showed over expression in other cancer types. The study serves as basis for future investigations to diagnosis of cervical cancer, as well as for cancers. Thus, they could also serve as potential drug targets for cancer therapeutics and diagnostics.
Kellett, Kathryn Emily. "Development of chemical sensors for rapid identification of amphetamine-related new psychoactive substances." Thesis, University of Hertfordshire, 2017. http://hdl.handle.net/2299/17686.
Повний текст джерелаКниги з теми "In-Silico identification"
Darryl, León, and Markel Scott, eds. In silico technologies in drug target identification and validation. Boca Raton: CRC Press, 2006.
Знайти повний текст джерелаMarkel, Scott, and Darryl Leon. In Silico Technologies in Drug Target Identification and Validation. Taylor & Francis Group, 2006.
Знайти повний текст джерелаIn silico technologies in drug target identification and validation. Boca Raton, FL: CRC/Taylor & Francis, 2006.
Знайти повний текст джерелаMarkel, Scott, and Darryl Leon. In Silico Technologies in Drug Target Identification and Validation. Taylor & Francis Group, 2006.
Знайти повний текст джерела(Editor), Darryl Leon, and Scott Markel (Editor), eds. In Silico Technologies in Drug Target Identification and Validation (Drug Discoveries Series). CRC, 2006.
Знайти повний текст джерелаЧастини книг з теми "In-Silico identification"
Trosset, Jean-Yves, and Christian Cavé. "In Silico Drug–Target Profiling." In Target Identification and Validation in Drug Discovery, 89–103. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9145-7_6.
Повний текст джерелаYella, Venkata Rajesh, and Manju Bansal. "In silico Identification of Eukaryotic Promoters." In Systems and Synthetic Biology, 63–75. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9514-2_4.
Повний текст джерелаSchuster, Andrew, Grant W. Hennig, Nicole Ortogero, Dickson Luong, and Wei Yan. "In Silico Identification of Novel Endo-siRNAs." In RNA Interference, 341–51. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1538-5_21.
Повний текст джерелаFlower, Darren R., Matthew N. Davies, and Irini A. Doytchinova. "Identification of Candidate Vaccine Antigens In Silico." In Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines, 39–71. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5070-2_3.
Повний текст джерелаNadarajah, Kalaivani K. "In Silico Identification of Plant-Derived Secondary Metabolites in Defense." In In Silico Approach for Sustainable Agriculture, 275–93. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0347-0_16.
Повний текст джерелаArif, K. M. Taufiqul, Rachel K. Okolicsanyi, Larisa M. Haupt, and Lyn R. Griffiths. "MicroRNA–Target Identification: A Combinatorial In Silico Approach." In Methods in Molecular Biology, 215–30. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2982-6_14.
Повний текст джерелаde Jonge, Ronnie. "In Silico Identification and Characterization of Effector Catalogs." In Plant Fungal Pathogens, 415–25. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-501-5_25.
Повний текст джерелаTrosset, Jean-Yves, and Christian Cavé. "In Silico Target Druggability Assessment: From Structural to Systemic Approaches." In Target Identification and Validation in Drug Discovery, 63–88. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9145-7_5.
Повний текст джерелаDavies, Matthew N., and Darren R. Flower. "In Silico Identification of Novel G Protein Coupled Receptors." In Methods in Molecular Biology, 25–36. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-310-7_2.
Повний текст джерелаDavies, Matthew N., David E. Gloriam, and Darren R. Flower. "In Silico Identification of Novel G Protein-Coupled Receptors." In Neuromethods, 3–18. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-179-6_1.
Повний текст джерелаТези доповідей конференцій з теми "In-Silico identification"
Beck, Dominik, Miriam Brandl, Tuan D. Pham, Chung-Che Chang, Xiaobo Zhou, Tuan D. Pham, Xiaobo Zhou, et al. "In-Silico Identification Of Micro-Loops In Myelodysplastic Syndromes." In 2011 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MODELS FOR LIFE SCIENCES (CMLS-11). AIP, 2011. http://dx.doi.org/10.1063/1.3596650.
Повний текст джерелаErsoz, Nur Sebnem, Yasin Guzel, and Burcu Bakir-Gungor. "In-Silico Identification of Papillary Thyroid Carcinoma Molecular Mechanisms." In 2019 27th Signal Processing and Communications Applications Conference (SIU). IEEE, 2019. http://dx.doi.org/10.1109/siu.2019.8806542.
Повний текст джерелаBarreira, Nina, Rodrigo Silva, Tatiana Tilli, and Patrícia Neves. "Identification of breast cancer neoantigens using in silico methodologies." In IV International Symposium on Immunobiologicals & VII Seminário Anual Científico e Tecnológico. Instituto de Tecnologia em Imunobiológicos, 2019. http://dx.doi.org/10.35259/isi.sact.2019_32690.
Повний текст джерелаTyagi, Rashmi, Dhruv Kumar, and V. Samuel Raj. "In silico identification of potential inhibitors against Mycobacterial proteasome." In 2018 International Conference on Bioinformatics and Systems Biology (BSB). IEEE, 2018. http://dx.doi.org/10.1109/bsb.2018.8770625.
Повний текст джерелаSoni, Abhishek, and Vikas Kaushik. "In Silico Identification of Inhibitors as Antagonist for HCV Treatment." In 2018 International Conference on Bioinformatics and Systems Biology (BSB). IEEE, 2018. http://dx.doi.org/10.1109/bsb.2018.8770606.
Повний текст джерелаKaur, Rajbir, and Vikas Kaushik. "In Silico Peptide based Vaccine Identification against Swine Influenza Virus." In 2018 International Conference on Bioinformatics and Systems Biology (BSB). IEEE, 2018. http://dx.doi.org/10.1109/bsb.2018.8770636.
Повний текст джерелаSinkoe, Andrew, A. Agung Julius, and Juergen Hahn. "In silico identification of potential transcriptional regulators associated with human MAPK signaling." In 2015 41st Annual Northeast Biomedical Engineering Conference (NEBEC). IEEE, 2015. http://dx.doi.org/10.1109/nebec.2015.7117197.
Повний текст джерелаZhang, Jintao, and Jun Huan. "Novel biological network features discovery for in silico identification of drug targets." In the ACM international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1882992.1883014.
Повний текст джерелаVychyk, P. V., and Y. A. Nikolaichik. "Identification of bacterial virulence factors based on an integration of experimental and in silico transcription factor target discovery." In 2nd International Scientific Conference "Plants and Microbes: the Future of Biotechnology". PLAMIC2020 Organizing committee, 2020. http://dx.doi.org/10.28983/plamic2020.278.
Повний текст джерелаChua, Huey-Eng, Sourav S. Bhowmick, Lisa Tucker-Kellogg, Qing Zhao, C. Forbes Dewey, and Hanry Yu. "In silico identification of endo16 regulators in the sea urchin endomesoderm gene regulatory network." In the 2nd ACM SIGHIT symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2110363.2110381.
Повний текст джерелаЗвіти організацій з теми "In-Silico identification"
Rafaeli, Ada, and Russell Jurenka. Molecular Characterization of PBAN G-protein Coupled Receptors in Moth Pest Species: Design of Antagonists. United States Department of Agriculture, December 2012. http://dx.doi.org/10.32747/2012.7593390.bard.
Повний текст джерелаRafaeli, Ada, Russell Jurenka, and Chris Sander. Molecular characterisation of PBAN-receptors: a basis for the development and screening of antagonists against Pheromone biosynthesis in moth pest species. United States Department of Agriculture, January 2008. http://dx.doi.org/10.32747/2008.7695862.bard.
Повний текст джерела