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Pregled bibliografske jedinice broj: 499544

Predictive methods as a powerful tool in drug discovery


Verbanac, Donatella
Predictive methods as a powerful tool in drug discovery // Biochemia medica : časopis hrvatskoga društva medicinskih biokemičara, 20 (2010), 3; 314-318 (međunarodna recenzija, pregledni rad, znanstveni)


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Naslov
Predictive methods as a powerful tool in drug discovery

Autori
Verbanac, Donatella

Izvornik
Biochemia medica : časopis hrvatskoga društva medicinskih biokemičara (1330-0962) 20 (2010), 3; 314-318

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, znanstveni

Ključne riječi
pharmaceutical industry; drug research; drug development; predictive tools; in silico screening; in vitro screening; therapeutic targets

Sažetak
A development of a new drug is an extremely complex process, with average costs over $900 million and a time span up to 15 years. Regulatory hurdles are progressively higher, costs are escalating and the competition is ever tougher. All these factors drive pharmaceutical companies to shorten the Research & Development (R&D) process as much as possible. Consequently, methodologies for increasing productivity of the R&D processes become more and more important. One of them, a linear drug discovery paradigm starts from numerous genes and ends with prospective drugs. It consists of four inter-related building blocks that together provide a whole new platform that drives a focus on R&D efforts and commercial capabilities, on use of product and capability partnerships, on provision of customer solutions (prevention, prediction and follow-up, not just treatment), and finally on preference of organizations based on a business unit model instead of a functional one. Companies are to find a combination of these building blocks that best fits their strengths, improves returns and minimizes involved risks. Predictive methodology, together with other prediction approaches applied in drug discovery, is powerful tool that is quickly becoming more and more important, if not essential, in modern drug development. In this review, a brief description of new trends, as well as new challenges of today's drug discovery is presented from the insider perspective.

Izvorni jezik
Engleski

Znanstvena područja
Kemija



POVEZANOST RADA


Ustanove:
Medicinski fakultet, Zagreb

Profili:

Avatar Url Donatella Verbanac (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada Hrčak www.bio

Citiraj ovu publikaciju:

Verbanac, Donatella
Predictive methods as a powerful tool in drug discovery // Biochemia medica : časopis hrvatskoga društva medicinskih biokemičara, 20 (2010), 3; 314-318 (međunarodna recenzija, pregledni rad, znanstveni)
Verbanac, D. (2010) Predictive methods as a powerful tool in drug discovery. Biochemia medica : časopis hrvatskoga društva medicinskih biokemičara, 20 (3), 314-318.
@article{article, author = {Verbanac, Donatella}, year = {2010}, pages = {314-318}, keywords = {pharmaceutical industry, drug research, drug development, predictive tools, in silico screening, in vitro screening, therapeutic targets}, journal = {Biochemia medica : \v{c}asopis hrvatskoga dru\v{s}tva medicinskih biokemi\v{c}ara}, volume = {20}, number = {3}, issn = {1330-0962}, title = {Predictive methods as a powerful tool in drug discovery}, keyword = {pharmaceutical industry, drug research, drug development, predictive tools, in silico screening, in vitro screening, therapeutic targets} }
@article{article, author = {Verbanac, Donatella}, year = {2010}, pages = {314-318}, keywords = {pharmaceutical industry, drug research, drug development, predictive tools, in silico screening, in vitro screening, therapeutic targets}, journal = {Biochemia medica : \v{c}asopis hrvatskoga dru\v{s}tva medicinskih biokemi\v{c}ara}, volume = {20}, number = {3}, issn = {1330-0962}, title = {Predictive methods as a powerful tool in drug discovery}, keyword = {pharmaceutical industry, drug research, drug development, predictive tools, in silico screening, in vitro screening, therapeutic targets} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka::


  • CA Search (Chemical Abstracts)
  • EBSCO/Academic Search Complete
  • DOAJ(Directory of Open Access Journals)
  • Scopus
  • JournalCitationReports/Science Edition (JRC, Thomson Reuters)





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