Computation in BioInformatics. Группа авторов. Читать онлайн. Newlib. NEWLIB.NET

Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Базы данных
Год издания: 0
isbn: 9781119654766
Скачать книгу
libraries that can be streamlined for either sub-atomic assorted variety or likeness with available candidates. What is more, disseminated processing has gotten progressively famous in enormous scale virtual screening, partially on account of progressively ground-breaking innovation.

      Although it is apparent that computational drug discovery methods have great potential, one should not rely on computational techniques in a black box manner and should beware of the Garbage In–Garbage Out (GIGO) phenomenon. The in silico segments genererally inquire about virtual screening of the potential candidates followed by use of high-throughput instruments to check the few potential candidates for pharmacological effect however this process is not the substitute for the potential in vivo evaluation. Later on, notwithstanding expanding the precision and adequacy of existing advances, the most significant inclination in computational medication disclosure field will be the incorporation of computational science and science together with chemoinformatics and bioinformatics, which will bring about another field known as pharmacoinformatics. Motivated by the fulfillment of the human genome and various pathogen genomes, incredible endeavors will be made to comprehend the job of quality items so as to misuse their capacities, which could be of extraordinary assistance for finding new medication targets. Computational strategies including objective distinguishing proof will turn out to be more enticing, and planned little atoms will likewise be widely utilized as tests for useful research.

      1. Augen, J., The evolving role of information technology in the drug discovery process. Drug Discovery Today, 7, 315–323, 2002.

      2. Hecht, P., High-throughput screening: beating the odds with informatics-driven chemistry. Curr. Drug Discovery, 7(8), 21–24, 2002 Jan.

      3. Xu, J. and Stevenson, J., Drug-like Index: A New Approach To Measure Drug-like Compounds and Their Diversity. J. Chem. Inf. Comput. Sci., 40, 1177–1187, 2000.

      4. Matter, H., Baringhaus, K.-H., Naumann, T., Klabunde, T., Pirard, B., Computational approaches towards the rational design of drug-like compound libraries. Comb. Chem. High Throughput Screen., 4, 453–475, 2001.

      5. Wikel, J.H. and Higgs, R.E., Applications of molecular diversity analysis in high throughput screening. J. Biomol. Screen., 2, 65–67, 1997.

      6. Engel, T., Basic Overview of Chemoinformatics. J. Chem. Inf. Model., 2267–2277, 2006. Varnek, A. and Baskin, I., Chemoinformatics as a Theoretical Chemistry Discipline. Mol. Inf., 30, 1, 20–32, 2011.

      7. Nirmalan, N., Hanison, J., Matthews, H., “Omics”-Informed Drug and Biomarker Discovery: Opportunities, Challenges and Future Perspectives. Proteomes, 4, 3, 28, 2016 Sep.

      1 *Corresponding author: [email protected]

      Конец ознакомительного фрагмента.

      Текст предоставлен ООО «ЛитРес».

      Прочитайте эту книгу целиком, купив полную легальную версию на ЛитРес.

      Безопасно оплатить книгу можно банковской картой Visa, MasterCard, Maestro, со счета мобильного телефона, с платежного терминала, в салоне МТС или Связной, через PayPal, WebMoney, Яндекс.Деньги, QIWI Кошелек, бонусными картами или другим удобным Вам способом.

/9j/4AAQSkZJRgABAQEBLAEsAAD/7SmuUGhvdG9zaG9wIDMuMAA4QklNBAQAAAAAAAccAgAAAgAA ADhCSU0EJQAAAAAAEOjxXPMvwRihontnrcVk1bo4QklNBDoAAAAAAPcAAAAQAAAAAQAAAAAAC3By aW50T3V0cHV0AAAABQAAAABQc3RTYm9vbAEAAAAASW50ZWVudW0AAAAASW50ZQAAAABDbHJtAAAA D3ByaW50U2l4dGVlbkJpdGJvb2wAAAAAC3ByaW50ZXJOYW1lVEVYVAAAAAoAQQBkAG8AYgBlACAA UABEAEYAAAAAAA9wcmludFByb29mU2V0dXBPYmpjAAAADABQAHIAbwBvAGYAIABTAGUAdAB1AHAA AAAAAApwcm9vZlNldHVwAAAAAQAAAABCbHRuZW51bQAAAAxidWlsdGluUHJvb2YAAAAJcHJvb2ZD TVlLADhCSU0EOwAAAAACLQAAABAAAAABAAAAAAAScHJpbnRPdXRwdXRPcHRpb25zAAAAFwAAAABD cHRuYm9vbAAAAAAAQ2xicmJvb2wAAAAAAFJnc01ib29sAAAAAABDcm5DYm9vbAAAAAAAQ250Q2Jv b2wAAAAAAExibHNib29sAAAAAABOZ3R2Ym9vbAAAAAAARW1sRGJvb2wAAAAAAEludHJib29sAAAA AABCY2tnT2JqYwAAAAEAAAAAAABSR0JDAAAAAwAAAABSZCAgZG91YkBv4AAAAAAAAAAAAEdybiBk b3ViQG/gAAAAAAAAAAAAQmwgIGRvdWJAb+AAAAAAAAAAAABCcmRUVW50RiNSbHQAAAAAAAAAAAAA AABCbGQgVW50RiNSbHQAAAAAAAAAAAAAAABSc2x0VW50RiNQeGxAc