Literature DB >> 33275427

FragRep: A Web Server for Structure-Based Drug Design by Fragment Replacement.

Jinwen Shan1,2, Xiaolin Pan1,2, Xingyu Wang2, Xudong Xiao1,2, Changge Ji1,2.   

Abstract

The design of efficient computational tools for structure-guided ligand design is essential for the drug discovery process. We hereby present FragRep, a new web server for structure-based ligand design by fragment replacement. The input is a protein and a ligand structure, either from protein data bank or from molecular docking. Users can choose specific substructures they want to modify. The server tries to find suitable fragments that not only meet the geometric requirements of the remaining part of the ligand but also fit well with local protein environments. FragRep is a powerful computational tool for the rapid generation of ligand design ideas; either in scaffold hopping or bioisosteric replacing. The FragRep Server is freely available to researchers and can be accessed at http://xundrug.cn/fragrep.

Year:  2020        PMID: 33275427     DOI: 10.1021/acs.jcim.0c00767

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  3 in total

1.  Efficient Hit-to-Lead Searching of Kinase Inhibitor Chemical Space via Computational Fragment Merging.

Authors:  Grigorii V Andrianov; Wern Juin Gabriel Ong; Ilya Serebriiskii; John Karanicolas
Journal:  J Chem Inf Model       Date:  2021-11-11       Impact factor: 4.956

Review 2.  Incorporating Target-Specific Pharmacophoric Information into Deep Generative Models for Fragment Elaboration.

Authors:  Thomas E Hadfield; Fergus Imrie; Andy Merritt; Kristian Birchall; Charlotte M Deane
Journal:  J Chem Inf Model       Date:  2022-05-02       Impact factor: 6.162

3.  DeepFrag: a deep convolutional neural network for fragment-based lead optimization.

Authors:  Harrison Green; David R Koes; Jacob D Durrant
Journal:  Chem Sci       Date:  2021-05-08       Impact factor: 9.825

  3 in total

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