Literature DB >> 30099123

Selection of protein conformations for structure-based polypharmacology studies.

Luca Pinzi1, Fabiana Caporuscio1, Giulio Rastelli2.   

Abstract

Several drugs exert their therapeutic effect through the modulation of multiple targets. Structure-based approaches hold great promise for identifying compounds with the desired polypharmacological profiles. These methods use knowledge of the protein binding sites to identify stereoelectronically complementary ligands. The selection of the most suitable protein conformations to be used in the design process is vital, especially for multitarget drug design in which the same ligand has to be accommodated in multiple binding pockets. Herein, we focus on currently available techniques for the selection of the most suitable protein conformations for multitarget drug design, compare the potential advantages and limitations of each method, and comment on how their combination could help in polypharmacology drug design.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2018        PMID: 30099123     DOI: 10.1016/j.drudis.2018.08.007

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  8 in total

1.  Data structures for computational compound promiscuity analysis and exemplary applications to inhibitors of the human kinome.

Authors:  Filip Miljković; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2019-12-02       Impact factor: 3.686

2.  Deadenylase-dependent mRNA decay of GDF15 and FGF21 orchestrates food intake and energy expenditure.

Authors:  Sakie Katsumura; Nadeem Siddiqui; Michael Rock Goldsmith; Jaime H Cheah; Teppei Fujikawa; Genki Minegishi; Atsushi Yamagata; Yukako Yabuki; Kaoru Kobayashi; Mikako Shirouzu; Takeshi Inagaki; Tim H-M Huang; Nicolas Musi; Ivan Topisirovic; Ola Larsson; Masahiro Morita
Journal:  Cell Metab       Date:  2022-04-05       Impact factor: 31.373

3.  Design of Dual Inhibitors of Histone Deacetylase 6 and Heat Shock Protein 90.

Authors:  Luca Pinzi; Rosaria Benedetti; Lucia Altucci; Giulio Rastelli
Journal:  ACS Omega       Date:  2020-05-11

Review 4.  Molecular Docking: Shifting Paradigms in Drug Discovery.

Authors:  Luca Pinzi; Giulio Rastelli
Journal:  Int J Mol Sci       Date:  2019-09-04       Impact factor: 5.923

5.  Cyclin-Dependent Kinase 5 Inhibitor Butyrolactone I Elicits a Partial Agonist Activity of Peroxisome Proliferator-Activated Receptor γ.

Authors:  Sungjin Ahn; Dong Man Jang; Sung Chul Park; Seungchan An; Jongheon Shin; Byung Woo Han; Minsoo Noh
Journal:  Biomolecules       Date:  2020-02-11

6.  Prediction of Promiscuity Cliffs Using Machine Learning.

Authors:  Thomas Blaschke; Christian Feldmann; Jürgen Bajorath
Journal:  Mol Inform       Date:  2020-09-29       Impact factor: 3.353

7.  LigAdvisor: a versatile and user-friendly web-platform for drug design.

Authors:  Luca Pinzi; Annachiara Tinivella; Luca Gagliardelli; Domenico Beneventano; Giulio Rastelli
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

8.  On the development of B-Raf inhibitors acting through innovative mechanisms.

Authors:  Luca Pinzi
Journal:  F1000Res       Date:  2022-02-25
  8 in total

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