Literature DB >> 23063928

Mathematical modeling of biological systems.

Santo Motta1, Francesco Pappalardo.   

Abstract

Mathematical and computational models are increasingly used to help interpret biomedical data produced by high-throughput genomics and proteomics projects. The application of advanced computer models enabling the simulation of complex biological processes generates hypotheses and suggests experiments. Appropriately interfaced with biomedical databases, models are necessary for rapid access to, and sharing of knowledge through data mining and knowledge discovery approaches.

Keywords:  computational models; mathematical biology; systems biology

Mesh:

Year:  2012        PMID: 23063928     DOI: 10.1093/bib/bbs061

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  22 in total

Review 1.  Systems Biology Approaches to Redox Metabolism in Stress and Disease States.

Authors:  Rui-Sheng Wang; William M Oldham; Bradley A Maron; Joseph Loscalzo
Journal:  Antioxid Redox Signal       Date:  2017-12-20       Impact factor: 8.401

2.  Continent-wide evolutionary trends of emerging SARS-CoV-2 variants: dynamic profiles from Alpha to Omicron.

Authors:  Chiranjib Chakraborty; Manojit Bhattacharya; Ashish Ranjan Sharma; Kuldeep Dhama; Sang-Soo Lee
Journal:  Geroscience       Date:  2022-07-13       Impact factor: 7.581

Review 3.  The WNT/β-catenin dependent transcription: A tissue-specific business.

Authors:  Simon Söderholm; Claudio Cantù
Journal:  WIREs Mech Dis       Date:  2020-10-21

4.  Bayesian immunological model development from the literature: example investigation of recent thymic emigrants.

Authors:  Tyson H Holmes; David B Lewis
Journal:  J Immunol Methods       Date:  2014-08-29       Impact factor: 2.303

5.  Agent based modeling of Treg-Teff cross regulation in relapsing-remitting multiple sclerosis.

Authors:  Marzio Pennisi; Abdul-Mateen Rajput; Luca Toldo; Francesco Pappalardo
Journal:  BMC Bioinformatics       Date:  2013-10-22       Impact factor: 3.169

6.  Agent-based modeling of the immune system: NetLogo, a promising framework.

Authors:  Ferdinando Chiacchio; Marzio Pennisi; Giulia Russo; Santo Motta; Francesco Pappalardo
Journal:  Biomed Res Int       Date:  2014-04-22       Impact factor: 3.411

7.  Computational and bioinformatics techniques for immunology.

Authors:  Francesco Pappalardo; Vladimir Brusic; Filippo Castiglione; Christian Schönbach
Journal:  Biomed Res Int       Date:  2014-12-31       Impact factor: 3.411

Review 8.  Modeling biology spanning different scales: an open challenge.

Authors:  Filippo Castiglione; Francesco Pappalardo; Carlo Bianca; Giulia Russo; Santo Motta
Journal:  Biomed Res Int       Date:  2014-07-17       Impact factor: 3.411

9.  Immune system modeling and related pathologies.

Authors:  Francesco Pappalardo; Vladimir Brusic; Holger Fröhlich
Journal:  Comput Math Methods Med       Date:  2012-12-17       Impact factor: 2.238

Review 10.  In silico modeling of the immune system: cellular and molecular scale approaches.

Authors:  Mariagrazia Belfiore; Marzio Pennisi; Giuseppina Aricò; Simone Ronsisvalle; Francesco Pappalardo
Journal:  Biomed Res Int       Date:  2014-04-06       Impact factor: 3.411

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