Literature DB >> 17630928

Targetability of human disease genes.

Meena K Sakharkar1, Kishore R Sakharkar.   

Abstract

The availability of complete genome sequences and the wealth of large-scale biological datasets provide an unprecedented opportunity to elucidate the genetic basis of human diseases. Therapeutically relevant targets should be both 'druggable' and 'disease modifying'. In this review we examine the application of computational biology towards the exploration of druggability, targetability and evolutionary conservation of human disease genes. These analyses could have a tremendous potential for systematic in silico drug target identification in the post-genomic era.

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Year:  2007        PMID: 17630928     DOI: 10.2174/157016307781115494

Source DB:  PubMed          Journal:  Curr Drug Discov Technol        ISSN: 1570-1638


  9 in total

Review 1.  Efficacy-oriented compatibility for component-based Chinese medicine.

Authors:  Jun-hua Zhang; Yan Zhu; Xiao-hui Fan; Bo-li Zhang
Journal:  Acta Pharmacol Sin       Date:  2015-04-13       Impact factor: 6.150

Review 2.  Open access high throughput drug discovery in the public domain: a Mount Everest in the making.

Authors:  Anuradha Roy; Peter R McDonald; Sitta Sittampalam; Rathnam Chaguturu
Journal:  Curr Pharm Biotechnol       Date:  2010-11       Impact factor: 2.837

3.  Drug development in pediatric psychiatry: current status, future trends.

Authors:  John S March; Joerg M Fegert
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2012-02-07       Impact factor: 3.033

4.  Identifying druggable targets by protein microenvironments matching: application to transcription factors.

Authors:  T Liu; R B Altman
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2014-01-22

5.  Micro-Environmental Signature of The Interactions between Druggable Target Protein, Dipeptidyl Peptidase-IV, and Anti-Diabetic Drugs.

Authors:  Chiranjib Chakraborty; Bidyut Mallick; Ashish Ranjan Sharma; Garima Sharma; Supriya Jagga; C George Priya Doss; Ju-Suk Nam; Sang-Soo Lee
Journal:  Cell J       Date:  2016-12-21       Impact factor: 2.479

Review 6.  New frontiers in the treatment of colorectal cancer: Autophagy and the unfolded protein response as promising targets.

Authors:  Pooneh Mokarram; Mohammed Albokashy; Maryam Zarghooni; Mohammad Amin Moosavi; Zahra Sepehri; Qi Min Chen; Andrzej Hudecki; Aliyeh Sargazi; Javad Alizadeh; Adel Rezaei Moghadam; Mohammad Hashemi; Hesam Movassagh; Thomas Klonisch; Ali Akbar Owji; Marek J Łos; Saeid Ghavami
Journal:  Autophagy       Date:  2017-02-23       Impact factor: 16.016

7.  The targeted inhibition of prostate cancer by iron-based nanoparticles based on bioinformatics.

Authors:  Feng Xiao; Jiayu Liu; Yongbo Zheng; Zhen Quan; Wei Sun; Yao Fan; Chunli Luo; Hailiang Li; Xiaohou Wu
Journal:  J Biomater Appl       Date:  2020-12-06       Impact factor: 2.646

8.  Large-Scale Profiling of Kinase Dependencies in Cancer Cell Lines.

Authors:  James Campbell; Colm J Ryan; Rachel Brough; Ilirjana Bajrami; Helen N Pemberton; Irene Y Chong; Sara Costa-Cabral; Jessica Frankum; Aditi Gulati; Harriet Holme; Rowan Miller; Sophie Postel-Vinay; Rumana Rafiq; Wenbin Wei; Chris T Williamson; David A Quigley; Joe Tym; Bissan Al-Lazikani; Timothy Fenton; Rachael Natrajan; Sandra J Strauss; Alan Ashworth; Christopher J Lord
Journal:  Cell Rep       Date:  2016-03-03       Impact factor: 9.423

9.  Structural analysis of mycobacterial homoserine transacetylases central to methionine biosynthesis reveals druggable active site.

Authors:  Catherine T Chaton; Emily S Rodriguez; Robert W Reed; Jian Li; Cameron W Kenner; Konstantin V Korotkov
Journal:  Sci Rep       Date:  2019-12-30       Impact factor: 4.379

  9 in total

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