Literature DB >> 23416097

Molecular modelling and simulations in cancer research.

Ran Friedman1, Kjetil Boye, Kjersti Flatmark.   

Abstract

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.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23416097     DOI: 10.1016/j.bbcan.2013.02.001

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  18 in total

1.  The road from next-generation sequencing to personalized medicine.

Authors:  Manuel L Gonzalez-Garay
Journal:  Per Med       Date:  2014       Impact factor: 2.512

2.  Oxidative hotspots on actin promote skeletal muscle weakness in rheumatoid arthritis.

Authors:  Maarten M Steinz; Malin Persson; Bejan Aresh; Karl Olsson; Arthur J Cheng; Emma Ahlstrand; Mats Lilja; Tommy R Lundberg; Eric Rullman; Kristina Ängeby Möller; Katalin Sandor; Sofia Ajeganova; Takashi Yamada; Nicole Beard; Björn Cg Karlsson; Pasi Tavi; Ellinor Kenne; Camilla I Svensson; Dilson E Rassier; Roger Karlsson; Ran Friedman; Thomas Gustafsson; Johanna T Lanner
Journal:  JCI Insight       Date:  2019-03-28

3.  Interaction of drugs amlodipine and paroxetine with the metabolizing enzyme CYP2B4: a molecular dynamics simulation study.

Authors:  Abbas Yousefpour; Hamid Modarress; Fatemeh Goharpey; Sepideh Amjad-Iranagh
Journal:  J Mol Model       Date:  2018-02-23       Impact factor: 1.810

4.  Integrating Transcriptomic Data with Mechanistic Systems Pharmacology Models for Virtual Drug Combination Trials.

Authors:  Anne Marie Barrette; Mehdi Bouhaddou; Marc R Birtwistle
Journal:  ACS Chem Neurosci       Date:  2017-10-06       Impact factor: 4.418

5.  (PS)2: protein structure prediction server version 3.0.

Authors:  Tsun-Tsao Huang; Jenn-Kang Hwang; Chu-Huang Chen; Chih-Sheng Chu; Chi-Wen Lee; Chih-Chieh Chen
Journal:  Nucleic Acids Res       Date:  2015-05-05       Impact factor: 16.971

6.  Combination of anti-hypertensive drugs: a molecular dynamics simulation study.

Authors:  Abbas Yousefpour; Hamid Modarress; Fatemeh Goharpey; Sepideh Amjad-Iranagh
Journal:  J Mol Model       Date:  2017-04-10       Impact factor: 1.810

7.  MST2-RASSF protein-protein interactions through SARAH domains.

Authors:  Goar Sánchez-Sanz; David Matallanas; Lan K Nguyen; Boris N Kholodenko; Edina Rosta; Walter Kolch; Nicolae-Viorel Buchete
Journal:  Brief Bioinform       Date:  2015-10-05       Impact factor: 11.622

8.  Molecular dynamics guided design of tocoflexol: a new radioprotectant tocotrienol with enhanced bioavailability.

Authors:  Cesar M Compadre; Awantika Singh; Shraddha Thakkar; Guangrong Zheng; Philip J Breen; Sanchita Ghosh; Mahmoud Kiaei; Marjan Boerma; Kottayil I Varughese; Martin Hauer-Jensen
Journal:  Drug Dev Res       Date:  2013-12-26       Impact factor: 4.360

9.  A novel antibody humanization method based on epitopes scanning and molecular dynamics simulation.

Authors:  Ding Zhang; Cai-Feng Chen; Bin-Bin Zhao; Lu-Lu Gong; Wen-Jing Jin; Jing-Jun Liu; Jing-Fei Wang; Tian-Tian Wang; Xiao-Hui Yuan; You-Wen He
Journal:  PLoS One       Date:  2013-11-21       Impact factor: 3.240

10.  In silico modeling for tumor growth visualization.

Authors:  Fleur Jeanquartier; Claire Jean-Quartier; David Cemernek; Andreas Holzinger
Journal:  BMC Syst Biol       Date:  2016-08-08
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