Literature DB >> 23409761

From allosteric drugs to allo-network drugs: state of the art and trends of design, synthesis and computational methods.

Peter Csermely, Ruth Nussinov, András Szilágyi.   

Abstract

Allosteric drugs bind to sites which are usually less conserved evolutionarily as compared to orthosteric sites. As such, they can discriminate between closely related proteins, have fewer side effects, and a consequent lower concentration can convey a lesser likelihood of receptor desensitization. However, an allosteric mode of action may also make the results of preclinical and animal experiments less predictive. The sensitivity of the allosteric consequences to the environment further increases the importance of accounting for patient population diversity. Even subtle differences in protein sequence, in cellular metabolic states or in target tissues, can result in different outcomes. This mini-hot-topic issue of CTMC showcases some successes and challenges of allosteric drug development through the examples of seventransmembrane (GPCR), AMPA, NMDA and metabotropic glutamate receptors, as well as the morpheein model of allosterism involved in inherent metabolic errors. Finally, the development of allo-network drugs, which are allosteric drugs acting indirectly on the neighborhood of the pharmacological target in protein-protein interaction or signaling networks, is described.

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Year:  2013        PMID: 23409761     DOI: 10.2174/1568026611313010002

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  8 in total

1.  Disclosing Allostery Through Protein Contact Networks.

Authors:  Luisa Di Paola; Giampiero Mei; Almerinda Di Venere; Alessandro Giuliani
Journal:  Methods Mol Biol       Date:  2021

2.  Analysis of fumarate-sensitive proteins and sites by exploiting residue interaction networks.

Authors:  Gianluca Miglio
Journal:  Amino Acids       Date:  2018-03-05       Impact factor: 3.520

3.  Model for high-throughput screening of multitarget drugs in chemical neurosciences: synthesis, assay, and theoretic study of rasagiline carbamates.

Authors:  Nerea Alonso; Olga Caamaño; Francisco J Romero-Duran; Feng Luan; M Natália D S Cordeiro; Matilde Yañez; Humberto González-Díaz; Xerardo García-Mera
Journal:  ACS Chem Neurosci       Date:  2013-07-29       Impact factor: 4.418

4.  Prediction of multi-target networks of neuroprotective compounds with entropy indices and synthesis, assay, and theoretical study of new asymmetric 1,2-rasagiline carbamates.

Authors:  Francisco J Romero Durán; Nerea Alonso; Olga Caamaño; Xerardo García-Mera; Matilde Yañez; Francisco J Prado-Prado; Humberto González-Díaz
Journal:  Int J Mol Sci       Date:  2014-09-24       Impact factor: 5.923

Review 5.  The structural basis for cancer treatment decisions.

Authors:  Ruth Nussinov; Hyunbum Jang; Chung-Jung Tsai
Journal:  Oncotarget       Date:  2014-09-15

6.  An optimal distance cutoff for contact-based Protein Structure Networks using side-chain centers of mass.

Authors:  Juan Salamanca Viloria; Maria Francesca Allega; Matteo Lambrughi; Elena Papaleo
Journal:  Sci Rep       Date:  2017-06-06       Impact factor: 4.379

7.  AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis.

Authors:  Joe G Greener; Michael J E Sternberg
Journal:  BMC Bioinformatics       Date:  2015-10-23       Impact factor: 3.169

Review 8.  Emerging Computational Methods for the Rational Discovery of Allosteric Drugs.

Authors:  Jeffrey R Wagner; Christopher T Lee; Jacob D Durrant; Robert D Malmstrom; Victoria A Feher; Rommie E Amaro
Journal:  Chem Rev       Date:  2016-04-13       Impact factor: 60.622

  8 in total

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