Literature DB >> 26575401

Dynamic Docking of Conformationally Constrained Macrocycles: Methods and Applications.

Scott E Allen1, Nikolay V Dokholyan1, Albert A Bowers1.   

Abstract

Many natural products consist of large and flexible macrocycles that engage their targets via multiple contact points. This combination of contained flexibility and large contact area often allows natural products to bind at target surfaces rather than deep pockets, making them attractive scaffolds for inhibiting protein-protein interactions and other challenging therapeutic targets. The increasing ability to manipulate such compounds either biosynthetically or via semisynthetic modification means that these compounds can now be considered as starting points for medchem campaigns rather than solely as ends. Modern medchem benefits substantially from rational improvements made on the basis of molecular docking. As such, docking methods have been enhanced in recent years to deal with the complicated binding modalities and flexible scaffolds of macrocyclic natural products and natural product-like structures. Here, we comprehensively review methods for treating and docking these large macrocyclic scaffolds and discuss some of the resulting advances in medicinal chemistry.

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Year:  2015        PMID: 26575401     DOI: 10.1021/acschembio.5b00663

Source DB:  PubMed          Journal:  ACS Chem Biol        ISSN: 1554-8929            Impact factor:   5.100


  14 in total

1.  MedusaDock 2.0: Efficient and Accurate Protein-Ligand Docking With Constraints.

Authors:  Jian Wang; Nikolay V Dokholyan
Journal:  J Chem Inf Model       Date:  2019-04-17       Impact factor: 4.956

2.  Predicting bioactive conformations and binding modes of macrocycles.

Authors:  Andrew Anighoro; Antonio de la Vega de León; Jürgen Bajorath
Journal:  J Comput Aided Mol Des       Date:  2016-09-21       Impact factor: 3.686

3.  Macrocycle modeling in ICM: benchmarking and evaluation in D3R Grand Challenge 4.

Authors:  Polo C-H Lam; Ruben Abagyan; Maxim Totrov
Journal:  J Comput Aided Mol Des       Date:  2019-10-09       Impact factor: 3.686

4.  Cyclization and Docking Protocol for Cyclic Peptide-Protein Modeling Using HADDOCK2.4.

Authors:  Vicky Charitou; Siri C van Keulen; Alexandre M J J Bonvin
Journal:  J Chem Theory Comput       Date:  2022-06-02       Impact factor: 6.578

Review 5.  Cyclisation strategies for stabilising peptides with irregular conformations.

Authors:  Quynh Ngoc Vu; Reginald Young; Haritha Krishna Sudhakar; Tianyi Gao; Tiancheng Huang; Yaw Sing Tan; Yu Heng Lau
Journal:  RSC Med Chem       Date:  2021-04-28

6.  Formation of macrocyclic ring systems by carbonylation of trifunctional P/B/B frustrated Lewis pairs.

Authors:  Long Wang; Shunxi Dong; Constantin G Daniliuc; Lei Liu; Stefan Grimme; Robert Knitsch; Hellmut Eckert; Michael Ryan Hansen; Gerald Kehr; Gerhard Erker
Journal:  Chem Sci       Date:  2017-12-14       Impact factor: 9.825

7.  An Efficient ABC_DE_Based Hybrid Algorithm for Protein-Ligand Docking.

Authors:  Boxin Guan; Changsheng Zhang; Yuhai Zhao
Journal:  Int J Mol Sci       Date:  2018-04-13       Impact factor: 5.923

8.  Investigating the Interaction of Cyclic RGD Peptidomimetics with αVβ₆ Integrin by Biochemical and Molecular Docking Studies.

Authors:  Monica Civera; Daniela Arosio; Francesca Bonato; Leonardo Manzoni; Luca Pignataro; Simone Zanella; Cesare Gennari; Umberto Piarulli; Laura Belvisi
Journal:  Cancers (Basel)       Date:  2017-09-21       Impact factor: 6.639

9.  Macrocyclic Modalities Combining Peptide Epitopes and Natural Product Fragments.

Authors:  Stéphanie M Guéret; Sasikala Thavam; Rodrigo J Carbajo; Marco Potowski; Niklas Larsson; Göran Dahl; Anita Dellsén; Tom N Grossmann; Alleyn T Plowright; Eric Valeur; Malin Lemurell; Herbert Waldmann
Journal:  J Am Chem Soc       Date:  2020-03-02       Impact factor: 15.419

10.  Structure-Based Design of Non-natural Macrocyclic Peptides That Inhibit Protein-Protein Interactions.

Authors:  Dennis M Krüger; Adrian Glas; David Bier; Nicole Pospiech; Kerstin Wallraven; Laura Dietrich; Christian Ottmann; Oliver Koch; Sven Hennig; Tom N Grossmann
Journal:  J Med Chem       Date:  2017-10-27       Impact factor: 7.446

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