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LeadOp+R: Structure-Based Lead Optimization With Synthetic Accessibility
We previously described a structure-based fragment hopping for lead optimization using a pre-docked fragment database, “LeadOp,” that conceptually replaced “bad” fragments of a ligand with “good” fragments while leaving the core of the ligand intact thus improving the compound's activity. LeadO...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5845126/ https://www.ncbi.nlm.nih.gov/pubmed/29556192 http://dx.doi.org/10.3389/fphar.2018.00096 |
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author | Lin, Fang-Yu Esposito, Emilio Xavier Tseng, Yufeng J. |
author_facet | Lin, Fang-Yu Esposito, Emilio Xavier Tseng, Yufeng J. |
author_sort | Lin, Fang-Yu |
collection | PubMed |
description | We previously described a structure-based fragment hopping for lead optimization using a pre-docked fragment database, “LeadOp,” that conceptually replaced “bad” fragments of a ligand with “good” fragments while leaving the core of the ligand intact thus improving the compound's activity. LeadOp was proven to optimize the query molecules and systematically developed improved analogs for each of our example systems. However, even with the fragment-based design from common building blocks, it is still a challenge for synthesis. In this work, “LeadOp+R” was developed based on 198 classical chemical reactions to consider the synthetic accessibility while optimizing leads. LeadOp+R first allows user to identify a preserved space defined by the volume occupied by a fragment of the query molecule to be preserved. Then LeadOp+R searches for building blocks with the same preserved space as initial reactants and grows molecules toward the preferred receptor-ligand interactions according to reaction rules from reaction database in LeadOp+R. Multiple conformers of each intermediate product were considered and evaluated at each step. The conformer with the best group efficiency score would be selected as the initial conformer of the next building block until the program finished optimization for all selected receptor-ligand interactions. The LeadOp+R method was tested with two biomolecular systems: Tie-2 kinase and human 5-lipoxygenase. The LeadOp+R methodology was able to optimize the query molecules and systematically developed improved analogs for each of our example systems. The suggested synthetic routes for compounds proposed by LeadOp+R were the same as the published synthetic routes devised by the synthetic/organic chemists. |
format | Online Article Text |
id | pubmed-5845126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58451262018-03-19 LeadOp+R: Structure-Based Lead Optimization With Synthetic Accessibility Lin, Fang-Yu Esposito, Emilio Xavier Tseng, Yufeng J. Front Pharmacol Pharmacology We previously described a structure-based fragment hopping for lead optimization using a pre-docked fragment database, “LeadOp,” that conceptually replaced “bad” fragments of a ligand with “good” fragments while leaving the core of the ligand intact thus improving the compound's activity. LeadOp was proven to optimize the query molecules and systematically developed improved analogs for each of our example systems. However, even with the fragment-based design from common building blocks, it is still a challenge for synthesis. In this work, “LeadOp+R” was developed based on 198 classical chemical reactions to consider the synthetic accessibility while optimizing leads. LeadOp+R first allows user to identify a preserved space defined by the volume occupied by a fragment of the query molecule to be preserved. Then LeadOp+R searches for building blocks with the same preserved space as initial reactants and grows molecules toward the preferred receptor-ligand interactions according to reaction rules from reaction database in LeadOp+R. Multiple conformers of each intermediate product were considered and evaluated at each step. The conformer with the best group efficiency score would be selected as the initial conformer of the next building block until the program finished optimization for all selected receptor-ligand interactions. The LeadOp+R method was tested with two biomolecular systems: Tie-2 kinase and human 5-lipoxygenase. The LeadOp+R methodology was able to optimize the query molecules and systematically developed improved analogs for each of our example systems. The suggested synthetic routes for compounds proposed by LeadOp+R were the same as the published synthetic routes devised by the synthetic/organic chemists. Frontiers Media S.A. 2018-03-05 /pmc/articles/PMC5845126/ /pubmed/29556192 http://dx.doi.org/10.3389/fphar.2018.00096 Text en Copyright © 2018 Lin, Esposito and Tseng. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Lin, Fang-Yu Esposito, Emilio Xavier Tseng, Yufeng J. LeadOp+R: Structure-Based Lead Optimization With Synthetic Accessibility |
title | LeadOp+R: Structure-Based Lead Optimization With Synthetic Accessibility |
title_full | LeadOp+R: Structure-Based Lead Optimization With Synthetic Accessibility |
title_fullStr | LeadOp+R: Structure-Based Lead Optimization With Synthetic Accessibility |
title_full_unstemmed | LeadOp+R: Structure-Based Lead Optimization With Synthetic Accessibility |
title_short | LeadOp+R: Structure-Based Lead Optimization With Synthetic Accessibility |
title_sort | leadop+r: structure-based lead optimization with synthetic accessibility |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5845126/ https://www.ncbi.nlm.nih.gov/pubmed/29556192 http://dx.doi.org/10.3389/fphar.2018.00096 |
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