Change search
ReferencesLink to record
Permanent link

Direct link
Molecular modelling and simulations in cancer research
Linnaeus University, Faculty of Health and Life Sciences, Department of Chemistry and Biomedical Sciences. (CCBG)ORCID iD: 0000-0001-8696-3104
2013 (English)In: Biochimica et Biophysica Acta. CR. Reviews on Cancer, ISSN 0304-419X, E-ISSN 1879-2561, Vol. 1836, no 1, 1-14 p.Article, review/survey (Refereed) Published
Abstract [en]

The complexity of cancer and the vast amount of experimental data available have made computer-aided approaches necessary. Biomolecular modelling techniques are becoming increasingly easier to use, whereas hardware and software are becoming better and cheaper. Cross-talk between theoretical and experimental scientists dealing with cancer-research from a molecular approach, however, is still uncommon. This is in contrast to other fields, such as amyloid-related diseases, where molecular modelling studies are widely acknowledged. The aim of this review paper is therefore to expose some of the more common approaches in molecular modelling to cancer scientists in simple terms, illustrating success stories while also revealing the limitations of computational studies at the molecular level.

Place, publisher, year, edition, pages
2013. Vol. 1836, no 1, 1-14 p.
Keyword [en]
Molecular dynamics; Ab initio molecular dynamics; Brownian dynamics; Normal model analysis; AKR1B10; Tubulin polymerase; Pin1; ERK2 l-asparaginase; p53
National Category
Cancer and Oncology Theoretical Chemistry Bioinformatics and Systems Biology Structural Biology
Research subject
Chemistry, Organic Chemistry
URN: urn:nbn:se:lnu:diva-24635DOI: 10.1016/j.bbcan.2013.02.001ISI: 000320475800001OAI: diva2:608816
Available from: 2013-03-01 Created: 2013-03-01 Last updated: 2016-04-25Bibliographically approved

Open Access in DiVA

fulltext(2567 kB)618 downloads
File information
File name FULLTEXT04.pdfFile size 2567 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Friedman, Ran
By organisation
Department of Chemistry and Biomedical Sciences
In the same journal
Biochimica et Biophysica Acta. CR. Reviews on Cancer
Cancer and OncologyTheoretical ChemistryBioinformatics and Systems BiologyStructural Biology

Search outside of DiVA

GoogleGoogle Scholar
Total: 618 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 105 hits
ReferencesLink to record
Permanent link

Direct link