Literature DB >> 16144807

Computational methods for the design of effective therapies against drug resistant HIV strains.

Niko Beerenwinkel1, Tobias Sing, Thomas Lengauer, Jörg Rahnenführer, Kirsten Roomp, Igor Savenkov, Roman Fischer, Daniel Hoffmann, Joachim Selbig, Klaus Korn, Hauke Walter, Thomas Berg, Patrick Braun, Gerd Fätkenheuer, Mark Oette, Jürgen Rockstroh, Bernd Kupfer, Rolf Kaiser, Martin Däumer.   

Abstract

The development of drug resistance is a major obstacle to successful treatment of HIV infection. The extraordinary replication dynamics of HIV facilitates its escape from selective pressure exerted by the human immune system and by combination drug therapy. We have developed several computational methods whose combined use can support the design of optimal antiretroviral therapies based on viral genomic data.

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Year:  2005        PMID: 16144807     DOI: 10.1093/bioinformatics/bti654

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  22 in total

1.  Clinical evaluation of the potential utility of computational modeling as an HIV treatment selection tool by physicians with considerable HIV experience.

Authors:  Brendan A Larder; Andrew Revell; Joann M Mican; Brian K Agan; Marianne Harris; Carlo Torti; Ilaria Izzo; Julia A Metcalf; Migdalia Rivera-Goba; Vincent C Marconi; Dechao Wang; Daniel Coe; Brian Gazzard; Julio Montaner; H Clifford Lane
Journal:  AIDS Patient Care STDS       Date:  2011-01       Impact factor: 5.078

Review 2.  The dawn of precision medicine in HIV: state of the art of pharmacotherapy.

Authors:  Ying Mu; Sunitha Kodidela; Yujie Wang; Santosh Kumar; Theodore J Cory
Journal:  Expert Opin Pharmacother       Date:  2018-09-20       Impact factor: 3.889

Review 3.  Bioinformatic analysis of HIV-1 entry and pathogenesis.

Authors:  Benjamas Aiamkitsumrit; Will Dampier; Gregory Antell; Nina Rivera; Julio Martin-Garcia; Vanessa Pirrone; Michael R Nonnemacher; Brian Wigdahl
Journal:  Curr HIV Res       Date:  2014       Impact factor: 1.581

Review 4.  Managing drug resistance in cancer: lessons from HIV therapy.

Authors:  Christoph Bock; Thomas Lengauer
Journal:  Nat Rev Cancer       Date:  2012-06-07       Impact factor: 60.716

5.  Web resources for HIV type 1 genotypic-resistance test interpretation.

Authors:  Tommy F Liu; Robert W Shafer
Journal:  Clin Infect Dis       Date:  2006-04-28       Impact factor: 9.079

6.  Models of RNA virus evolution and their roles in vaccine design.

Authors:  Samuel Ojosnegros; Niko Beerenwinkel
Journal:  Immunome Res       Date:  2010-11-03

7.  Predicting drug resistance of the HIV-1 protease using molecular interaction energy components.

Authors:  Tingjun Hou; Wei Zhang; Jian Wang; Wei Wang
Journal:  Proteins       Date:  2009-03

8.  Genotypic antiretroviral resistance testing for human immunodeficiency virus type 1 integrase inhibitors by use of the TruGene sequencing system.

Authors:  Christian Paar; Christina Palmetshofer; Karin Flieger; Maria Geit; Rolf Kaiser; Herbert Stekel; Jörg Berg
Journal:  J Clin Microbiol       Date:  2008-10-22       Impact factor: 5.948

9.  Accurate assembly of minority viral haplotypes from next-generation sequencing through efficient noise reduction.

Authors:  Sergey Knyazev; Viachaslau Tsyvina; Anupama Shankar; Andrew Melnyk; Alexander Artyomenko; Tatiana Malygina; Yuri B Porozov; Ellsworth M Campbell; William M Switzer; Pavel Skums; Serghei Mangul; Alex Zelikovsky
Journal:  Nucleic Acids Res       Date:  2021-09-27       Impact factor: 16.971

10.  Contrasting life strategies of viruses that infect photo- and heterotrophic bacteria, as revealed by viral tagging.

Authors:  Li Deng; Ann Gregory; Suzan Yilmaz; Bonnie T Poulos; Philip Hugenholtz; Matthew B Sullivan
Journal:  MBio       Date:  2012-10-30       Impact factor: 7.867

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