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Mareuil F, Moine-Franel A, Kar A, Nilges M, Ciambur CB, Sperandio O. Protein interaction explorer (PIE): a comprehensive platform for navigating protein-protein interactions and ligand binding pockets. Bioinformatics 2024; 40:btae414. [PMID: 38917415 PMCID: PMC11223782 DOI: 10.1093/bioinformatics/btae414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 06/12/2024] [Accepted: 06/24/2024] [Indexed: 06/27/2024] Open
Abstract
SUMMARY Protein Interaction Explorer (PIE) is a new web-based tool integrated to our database iPPI-DB, specifically crafted to support structure-based drug discovery initiatives focused on protein-protein interactions (PPIs). Drawing upon extensive structural data encompassing thousands of heterodimer complexes, including those with successful ligands, PIE provides a comprehensive suite of tools dedicated to aid decision-making in PPI drug discovery. PIE enables researchers/bioinformaticians to identify and characterize crucial factors such as the presence of binding pockets or functional binding sites at the interface, predicting hot spots, and foreseeing similar protein-embedded pockets for potential repurposing efforts. AVAILABILITY AND IMPLEMENTATION PIE is user-friendly and readily accessible at https://ippidb.pasteur.fr/targetcentric/. It relies on the NGL visualizer.
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Affiliation(s)
- Fabien Mareuil
- Bioinformatics and Biostatistics Hub, Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, 75015 Paris, France
| | - Alexandra Moine-Franel
- Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur, Université de Paris, CNRS UMR3528, 75015 Paris, France
- Collège Doctoral, Sorbonne Université, 75005 Paris, France
| | - Anuradha Kar
- Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur, Université de Paris, CNRS UMR3528, 75015 Paris, France
| | - Michael Nilges
- Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur, Université de Paris, CNRS UMR3528, 75015 Paris, France
| | - Constantin Bogdan Ciambur
- Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur, Université de Paris, CNRS UMR3528, 75015 Paris, France
| | - Olivier Sperandio
- Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur, Université de Paris, CNRS UMR3528, 75015 Paris, France
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2
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Moine-Franel A, Mareuil F, Nilges M, Ciambur CB, Sperandio O. A comprehensive dataset of protein-protein interactions and ligand binding pockets for advancing drug discovery. Sci Data 2024; 11:402. [PMID: 38643260 PMCID: PMC11032347 DOI: 10.1038/s41597-024-03233-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 04/05/2024] [Indexed: 04/22/2024] Open
Abstract
This dataset represents a collection of pocket-centric structural data related to protein-protein interactions (PPIs) and PPI-related ligand binding sites. The dataset includes high-quality structural information on more than 23,000 pockets, 3,700 proteins on more than 500 organisms, and nearly 3500 ligands that can aid researchers in the fields of bioinformatics, structural biology, and drug discovery. It encompasses a diverse set of PPI complexes with more than 1,700 unique protein families including some with associated ligands, enabling detailed investigations into molecular interactions at the atomic level. This article introduces an indispensable resource designed to unlock the full potential of PPIs while pioneering a novel metric for pocket similarity for hypothesizing protein partners repurposing.
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Affiliation(s)
- Alexandra Moine-Franel
- Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur, Université de Paris, CNRS UMR3528, Paris, France
- Collège Doctoral, Sorbonne Université, Paris, F-75005, France
| | - Fabien Mareuil
- Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur, Université de Paris, CNRS UMR3528, Paris, France
| | - Michael Nilges
- Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur, Université de Paris, CNRS UMR3528, Paris, France
| | - Constantin Bogdan Ciambur
- Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur, Université de Paris, CNRS UMR3528, Paris, France
| | - Olivier Sperandio
- Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur, Université de Paris, CNRS UMR3528, Paris, France.
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3
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Tandi M, Tripathi N, Gaur A, Gopal B, Sundriyal S. Curation and cheminformatics analysis of a Ugi-reaction derived library (URDL) of synthetically tractable small molecules for virtual screening application. Mol Divers 2024; 28:37-50. [PMID: 36574164 DOI: 10.1007/s11030-022-10588-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 12/17/2022] [Indexed: 12/28/2022]
Abstract
Virtual screening (VS) is an important approach in drug discovery and relies on the availability of a virtual library of synthetically tractable molecules. Ugi reaction (UR) represents an important multi-component reaction (MCR) that reliably produces a peptidomimetic scaffold. Recent literature shows that a tactically assembled Ugi adduct can be subjected to further chemical modifications to yield a variety of rings and scaffolds, thus, renewing the interest in this old reaction. Given the reliability and efficiency of UR, we collated an UR derived library (URDL) of small molecules (total = 5773) for VS. The synthesis of the majority of URDL molecules may be carried out in 1-2 pots in a time and cost-effective manner. The detailed analysis of the average property and chemical space of URDL was also carried out using the open-source Datawarrior program. The comparison with FDA-approved oral drugs and inhibitors of protein-protein interactions (iPPIs) suggests URDL molecules are 'clean', drug-like, and conform to a structurally distinct space from the other two categories. The average physicochemical properties of compounds in the URDL library lie closer to iPPI molecules than oral drugs thus suggesting that the URDL resource can be applied to discover novel iPPI molecules. The URDL molecules consist of diverse ring systems, many of which have not been exploited yet for drug design. Thus, URDL represents a small virtual library of drug-like molecules with unexplored chemical space designed for VS. The structures of all molecules of URDL, oral drugs, and iPPI compounds are being made freely accessible as supplementary information for broader application.
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Affiliation(s)
- Mukesh Tandi
- Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Rajasthan, 333031, India
| | - Nancy Tripathi
- Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Rajasthan, 333031, India
| | - Animesh Gaur
- Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Rajasthan, 333031, India
| | | | - Sandeep Sundriyal
- Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Rajasthan, 333031, India.
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4
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Zha J, Li M, Kong R, Lu S, Zhang J. Explaining and Predicting Allostery with Allosteric Database and Modern Analytical Techniques. J Mol Biol 2022; 434:167481. [DOI: 10.1016/j.jmb.2022.167481] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/25/2022] [Accepted: 01/31/2022] [Indexed: 12/17/2022]
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5
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Pinzi L, Tinivella A, Rastelli G. Chemoinformatics Analyses of Tau Ligands Reveal Key Molecular Requirements for the Identification of Potential Drug Candidates against Tauopathies. Molecules 2021; 26:5039. [PMID: 34443629 PMCID: PMC8400687 DOI: 10.3390/molecules26165039] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/08/2021] [Accepted: 08/16/2021] [Indexed: 11/16/2022] Open
Abstract
Tau is a highly soluble protein mainly localized at a cytoplasmic level in the neuronal cells, which plays a crucial role in the regulation of microtubule dynamic stability. Recent studies have demonstrated that several factors, such as hyperphosphorylation or alterations of Tau metabolism, may contribute to the pathological accumulation of protein aggregates, which can result in neuronal death and the onset of a number of neurological disorders called Tauopathies. At present, there are no available therapeutic remedies able to reduce Tau aggregation, nor are there any structural clues or guidelines for the rational identification of compounds preventing the accumulation of protein aggregates. To help identify the structural properties required for anti-Tau aggregation activity, we performed extensive chemoinformatics analyses on a dataset of Tau ligands reported in ChEMBL. The performed analyses allowed us to identify a set of molecular properties that are in common between known active ligands. Moreover, extensive analyses of the fragment composition of reported ligands led to the identification of chemical moieties and fragment combinations prevalent in the more active compounds. Interestingly, many of these fragments were arranged in recurring frameworks, some of which were clearly present in compounds currently under clinical investigation. This work represents the first in-depth chemoinformatics study of the molecular properties, constituting fragments and similarity profiles, of known Tau aggregation inhibitors. The datasets of compounds employed for the analyses, the identified molecular fragments and their combinations are made publicly available as supplementary material.
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Affiliation(s)
- Luca Pinzi
- Department of Life Sciences, University of Modena and Reggio Emilia, Via G. Campi 103/287, 41125 Modena, Italy; (L.P.); (A.T.)
| | - Annachiara Tinivella
- Department of Life Sciences, University of Modena and Reggio Emilia, Via G. Campi 103/287, 41125 Modena, Italy; (L.P.); (A.T.)
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Giulio Rastelli
- Department of Life Sciences, University of Modena and Reggio Emilia, Via G. Campi 103/287, 41125 Modena, Italy; (L.P.); (A.T.)
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6
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Exploring the chemical space of protein-protein interaction inhibitors through machine learning. Sci Rep 2021; 11:13369. [PMID: 34183730 PMCID: PMC8238997 DOI: 10.1038/s41598-021-92825-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 06/16/2021] [Indexed: 11/08/2022] Open
Abstract
Although protein-protein interactions (PPIs) have emerged as the basis of potential new therapeutic approaches, targeting intracellular PPIs with small molecule inhibitors is conventionally considered highly challenging. Driven by increasing research efforts, success rates have increased significantly in recent years. In this study, we analyze the physicochemical properties of 9351 non-redundant inhibitors present in the iPPI-DB and TIMBAL databases to define a computational model for active compounds acting against PPI targets. Principle component analysis (PCA) and k-means clustering were used to identify plausible PPI targets in regions of interest in the active group in the chemical space between active and inactive iPPI compounds. Notably, the uniquely defined active group exhibited distinct differences in activity compared with other active compounds. These results demonstrate that active compounds with regions of interest in the chemical space may be expected to provide insights into potential PPI inhibitors for particular protein targets.
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Guardiola S, Varese M, Roig X, Sánchez-Navarro M, García J, Giralt E. Target-templated de novo design of macrocyclic d-/l-peptides: discovery of drug-like inhibitors of PD-1. Chem Sci 2021; 12:5164-5170. [PMID: 34163753 PMCID: PMC8179567 DOI: 10.1039/d1sc01031j] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 02/25/2021] [Indexed: 01/22/2023] Open
Abstract
Peptides are a rapidly growing class of therapeutics with various advantages over traditional small molecules, especially for targeting difficult protein-protein interactions. However, current structure-based methods are largely limited to natural peptides and are not suitable for designing bioactive cyclic topologies that go beyond natural l-amino acids. Here, we report a generalizable framework that exploits the computational power of Rosetta, in terms of large-scale backbone sampling, side-chain composition and energy scoring, to design heterochiral cyclic peptides that bind to a protein surface of interest. To showcase the applicability of our approach, we developed two new inhibitors (PD-i3 and PD-i6) of programmed cell death 1 (PD-1), a key immune checkpoint in oncology. A comprehensive biophysical evaluation was performed to assess their binding to PD-1 as well as their blocking effect on the endogenous PD-1/PD-L1 interaction. Finally, NMR elucidation of their in-solution structures confirmed our de novo design approach.
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Affiliation(s)
- Salvador Guardiola
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology Baldiri Reixac 10 08028 Barcelona Spain
| | - Monica Varese
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology Baldiri Reixac 10 08028 Barcelona Spain
| | - Xavier Roig
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology Baldiri Reixac 10 08028 Barcelona Spain
| | | | - Jesús García
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology Baldiri Reixac 10 08028 Barcelona Spain
| | - Ernest Giralt
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology Baldiri Reixac 10 08028 Barcelona Spain
- Department of Inorganic and Organic Chemistry, University of Barcelona Spain
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8
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Exploring new targets and chemical space with affinity selection-mass spectrometry. Nat Rev Chem 2020; 5:62-71. [PMID: 37118102 DOI: 10.1038/s41570-020-00229-2] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/16/2020] [Indexed: 12/15/2022]
Abstract
Affinity selection-mass spectrometry (AS-MS) is a high-throughput screening (HTS) technique for drug discovery that enables rapid screening of large collections of compounds to identify ligands for a specific biomolecular target. AS-MS is a binding assay that is insensitive to the functional effects a ligand might have, which is important because it lets us identify novel ligands irrespective of their binding site. This approach is gaining popularity, notably due to its role in the emergence of useful agents for targeted protein degradation. This Perspective highlights the use of AS-MS techniques to explore broad chemical space and identify small-molecule ligands for biological targets that have proven challenging to address with other screening paradigms. We present chemical structures of reported AS-MS hits to illustrate the potential of this screening approach to deliver high-quality hits for further optimization. AS-MS has, thus, evolved from being an infrequent alternative to traditional HTS or DNA-encoded library strategies to now firmly establishing itself as a HTS approach for drug discovery.
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Bosc N, Muller C, Hoffer L, Lagorce D, Bourg S, Derviaux C, Gourdel ME, Rain JC, Miller TW, Villoutreix BO, Miteva MA, Bonnet P, Morelli X, Sperandio O, Roche P. Fr-PPIChem: An Academic Compound Library Dedicated to Protein-Protein Interactions. ACS Chem Biol 2020; 15:1566-1574. [PMID: 32320205 PMCID: PMC7399473 DOI: 10.1021/acschembio.0c00179] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Protein-protein interactions (PPIs) mediate nearly every cellular process and represent attractive targets for modulating disease states but are challenging to target with small molecules. Despite this, several PPI inhibitors (iPPIs) have entered clinical trials, and a growing number of PPIs have become validated drug targets. However, high-throughput screening efforts still endure low hit rates mainly because of the use of unsuitable screening libraries. Here, we describe the collective effort of a French consortium to build, select, and store in plates a unique chemical library dedicated to the inhibition of PPIs. Using two independent predictive models and two updated databases of experimentally confirmed PPI inhibitors developed by members of the consortium, we built models based on different training sets, molecular descriptors, and machine learning methods. Independent statistical models were used to select putative PPI inhibitors from large commercial compound collections showing great complementarity. Medicinal chemistry filters were applied to remove undesirable structures from this set (such as PAINS, frequent hitters, and toxic compounds) and to improve drug likeness. The remaining compounds were subjected to a clustering procedure to reduce the final size of the library while maintaining its chemical diversity. In practice, the library showed a 46-fold activity rate enhancement when compared to a non-iPPI-enriched diversity library in high-throughput screening against the CD47-SIRPα PPI. The Fr-PPIChem library is plated in 384-well plates and will be distributed on demand to the scientific community as a powerful tool for discovering new chemical probes and early hits for the development of potential therapeutic drugs.
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Affiliation(s)
- Nicolas Bosc
- Inserm U973 MTi, 25 rue Hélène Brion 75013 Paris
- Institut Pasteur, Unité de Bioinformatique Structurale, CNRS UMR3528, 28 rue du Dr Roux 75015 Paris
| | - Christophe Muller
- IPC Drug Discovery Platform, Institut Paoli-Calmettes, 232 Boulevard de Sainte-Marguerite, 13009, Marseille, France
| | - Laurent Hoffer
- CRCM, CNRS, INSERM, Institut Paoli-Calmettes, Aix-Marseille Univ, 13009 Marseille, France
| | - David Lagorce
- Université de Paris, INSERM US14, Plateforme Maladies Rares - Orphanet, 75014 Paris, France
| | - Stéphane Bourg
- Institut de Chimie Organique et Analytique (ICOA), Université d’Orléans, UMR CNRS 7311, BP 6759, 45067 Orléans. France
| | - Carine Derviaux
- IPC Drug Discovery Platform, Institut Paoli-Calmettes, 232 Boulevard de Sainte-Marguerite, 13009, Marseille, France
| | - Marie-Edith Gourdel
- Hybrigenics Services SAS, 1 rue Pierre Fontaine, 91000 Evry Courcouronnes, France
| | - Jean-Christophe Rain
- Hybrigenics Services SAS, 1 rue Pierre Fontaine, 91000 Evry Courcouronnes, France
| | - Thomas W. Miller
- IPC Drug Discovery Platform, Institut Paoli-Calmettes, 232 Boulevard de Sainte-Marguerite, 13009, Marseille, France
| | - Bruno O. Villoutreix
- Université de Lille, INSERM, Institut Pasteur de Lille, U1177 - Drugs and Molecules for living Systems, 59000 Lille, France
| | - Maria A. Miteva
- Inserm U1268 MCTR, CNRS UMR 8038 CiTCoM – Univ. De Paris, Faculté de Pharmacie de Paris, 75006 Paris, France
| | - Pascal Bonnet
- Institut de Chimie Organique et Analytique (ICOA), Université d’Orléans, UMR CNRS 7311, BP 6759, 45067 Orléans. France
| | - Xavier Morelli
- IPC Drug Discovery Platform, Institut Paoli-Calmettes, 232 Boulevard de Sainte-Marguerite, 13009, Marseille, France
- CRCM, CNRS, INSERM, Institut Paoli-Calmettes, Aix-Marseille Univ, 13009 Marseille, France
| | - Olivier Sperandio
- Inserm U973 MTi, 25 rue Hélène Brion 75013 Paris
- Institut Pasteur, Unité de Bioinformatique Structurale, CNRS UMR3528, 28 rue du Dr Roux 75015 Paris
| | - Philippe Roche
- CRCM, CNRS, INSERM, Institut Paoli-Calmettes, Aix-Marseille Univ, 13009 Marseille, France
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10
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Allen SJ, Lumb KJ. Protein-protein interactions: a structural view of inhibition strategies and the IL-23/IL-17 axis. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2020; 121:253-303. [PMID: 32312425 DOI: 10.1016/bs.apcsb.2019.12.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Protein-protein interactions are central to biology and provide opportunities to modulate disease with small-molecule or protein therapeutics. Recent developments in the understanding of the tractability of protein-protein interactions are discussed with a focus on the ligandable nature of protein-protein interaction surfaces. General principles of inhibiting protein-protein interactions are illustrated with structural biology examples from six members of the IL-23/IL-17 signaling family (IL-1, IL-6, IL-17, IL-23 RORγT and TNFα). These examples illustrate the different approaches to discover protein-protein interaction inhibitors on a target-specific basis that has proven fruitful in terms of discovering both small molecule and biologic based protein-protein interaction inhibitors.
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Affiliation(s)
- Samantha J Allen
- Lead Discovery & Profiling, Discovery Sciences, Janssen R&D LLC, Spring House, PA, United States
| | - Kevin J Lumb
- Lead Discovery & Profiling, Discovery Sciences, Janssen R&D LLC, Spring House, PA, United States
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11
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Da Silva F, Bret G, Teixeira L, Gonzalez CF, Rognan D. Exhaustive Repertoire of Druggable Cavities at Protein-Protein Interfaces of Known Three-Dimensional Structure. J Med Chem 2019; 62:9732-9742. [PMID: 31603323 DOI: 10.1021/acs.jmedchem.9b01184] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Protein-protein interactions (PPIs) offer the unique opportunity to tailor ligands aimed at specifically stabilizing or disrupting the corresponding interfaces and providing a safer alternative to conventional ligands targeting monomeric macromolecules. Selecting biologically relevant protein-protein interfaces for either stabilization or disruption by small molecules is usually biology-driven on a case-by-case basis and does not follow a structural rationale that could be applied to an entire interactome. We herewith provide a first step to the latter goal by using a fully automated and structure-based workflow, applicable to any PPI of known three-dimensional (3D) structure, to identify and prioritize druggable cavities at and nearby PPIs of pharmacological interest. When applied to the entire Protein Data Bank, 164 514 druggable cavities were identified and classified in four groups (interfacial, rim, allosteric, orthosteric) according to their properties and spatial locations. Systematic comparison of PPI cavities with pockets deduced from druggable protein-ligand complexes shows almost no overlap in property space, suggesting that even the most druggable PPI cavities are unlikely to be addressed with conventional drug-like compound libraries. The archive is freely accessible at http://drugdesign.unistra.fr/ppiome .
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Affiliation(s)
- Franck Da Silva
- Laboratoire d'Innovation Thérapeutique , UMR 7200 CNRS-Université de Strasbourg , 67400 Illkirch , France
| | - Guillaume Bret
- Laboratoire d'Innovation Thérapeutique , UMR 7200 CNRS-Université de Strasbourg , 67400 Illkirch , France
| | - Leandro Teixeira
- Department of Microbiology and Cell Science, Genetics Institute, Institute of Food and Agricultural Sciences , University of Florida , Gainesville , Florida 32610-3610 , United States
| | - Claudio F Gonzalez
- Department of Microbiology and Cell Science, Genetics Institute, Institute of Food and Agricultural Sciences , University of Florida , Gainesville , Florida 32610-3610 , United States
| | - Didier Rognan
- Laboratoire d'Innovation Thérapeutique , UMR 7200 CNRS-Université de Strasbourg , 67400 Illkirch , France
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12
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Valli M, Bolzani VS. Natural Products: Perspectives and Challenges for use of Brazilian Plant Species in the Bioeconomy. AN ACAD BRAS CIENC 2019; 91:e20190208. [PMID: 31411242 DOI: 10.1590/0001-3765201920190208] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 04/15/2019] [Indexed: 12/25/2022] Open
Abstract
The development of our society has been based on the use of biodiversity, especially for nutrition, medicines and beauty. Brazil is the nation with the largest biodiversity in the world, with a rich chemical diversity, which is a potential source for bioeconomy. Considering the chemical and biological diversity of the Brazilian territory, we would like to highlight the value of secondary metabolites from Brazilian biodiversity with potential application for new products and technologies and the importance of scientific programs to support the sustainable use of biodiversity.
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Affiliation(s)
- Marilia Valli
- Nuclei of Bioassays, Biosynthesis and Ecophysiology of Natural Products (NuBBE), Department of Organic Chemistry, Institute of Chemistry, São Paulo State University (UNESP), Av. Prof. Francisco Degni, 55, 14800-900 Araraquara, SP, Brazil
| | - Vanderlan S Bolzani
- Nuclei of Bioassays, Biosynthesis and Ecophysiology of Natural Products (NuBBE), Department of Organic Chemistry, Institute of Chemistry, São Paulo State University (UNESP), Av. Prof. Francisco Degni, 55, 14800-900 Araraquara, SP, Brazil
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13
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Koulouridi E, Valli M, Ntie-Kang F, Bolzani VDS. A primer on natural product-based virtual screening. PHYSICAL SCIENCES REVIEWS 2019. [DOI: 10.1515/psr-2018-0105] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Abstract
Databases play an important role in various computational techniques, including virtual screening (VS) and molecular modeling in general. These collections of molecules can contain a large amount of information, making them suitable for several drug discovery applications. For example, vendor, bioactivity data or target type can be found when searching a database. The introduction of these data resources and their characteristics is used for the design of an experiment. The description of the construction of a database can also be a good advisor for the creation of a new one. There are free available databases and commercial virtual libraries of molecules. Furthermore, a computational chemist can find databases for a general purpose or a specific subset such as natural products (NPs). In this chapter, NP database resources are presented, along with some guidelines when preparing an NP database for drug discovery purposes.
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14
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Cummings MD, Sekharan S. Structure-Based Macrocycle Design in Small-Molecule Drug Discovery and Simple Metrics To Identify Opportunities for Macrocyclization of Small-Molecule Ligands. J Med Chem 2019; 62:6843-6853. [DOI: 10.1021/acs.jmedchem.8b01985] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Maxwell D. Cummings
- Janssen Research and Development, LLC, Welsh and McKean Roads, Spring House, Pennsylvania 19477, United States
| | - Sivakumar Sekharan
- Cambridge Crystallographic Data Centre, 252 Nassau Street, Princeton, New Jersey 08542, United States
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15
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Farouk F, Shamma R. Chemical structure modifications and nano-technology applications for improving ADME-Tox properties, a review. Arch Pharm (Weinheim) 2019; 352:e1800213. [DOI: 10.1002/ardp.201800213] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 11/02/2018] [Accepted: 11/11/2018] [Indexed: 12/17/2022]
Affiliation(s)
- Faten Farouk
- Faculty of Pharmacy, Department of Pharmaceutical Chemistry; Ahram Canadian University; Giza Egypt
| | - Rehab Shamma
- Faculty of Pharmacy, Department of Pharmaceutics and Industrial Pharmacy; Cairo University; Cairo Egypt
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16
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Saldívar-González FI, Valli M, Andricopulo AD, da Silva Bolzani V, Medina-Franco JL. Chemical Space and Diversity of the NuBBE Database: A Chemoinformatic Characterization. J Chem Inf Model 2018; 59:74-85. [DOI: 10.1021/acs.jcim.8b00619] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Fernanda I. Saldívar-González
- School of Chemistry, Department of Pharmacy, Universidad Nacional Autónoma de México, Avenida Universidad 3000, Mexico City 04510, Mexico
| | - Marilia Valli
- Nuclei of Bioassays, Biosynthesis and Ecophysiology of Natural Products (NuBBE), Department of Organic Chemistry, Institute of Chemistry, Sao Paulo State University - UNESP, 14800-060 Araraquara, Sao Paulo, Brazil
| | - Adriano D. Andricopulo
- Laboratório de Química Medicinal e Computacional (LQMC), Centro de Pesquisa e Inovação em Biodiversidade e Fármacos, Institute of Physics of Sao Carlos, University of Sao Paulo - USP, 13563-120 Sao Carlos, Sao Paulo, Brazil
| | - Vanderlan da Silva Bolzani
- Nuclei of Bioassays, Biosynthesis and Ecophysiology of Natural Products (NuBBE), Department of Organic Chemistry, Institute of Chemistry, Sao Paulo State University - UNESP, 14800-060 Araraquara, Sao Paulo, Brazil
| | - José L. Medina-Franco
- School of Chemistry, Department of Pharmacy, Universidad Nacional Autónoma de México, Avenida Universidad 3000, Mexico City 04510, Mexico
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17
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Rho GTPases in Intellectual Disability: From Genetics to Therapeutic Opportunities. Int J Mol Sci 2018; 19:ijms19061821. [PMID: 29925821 PMCID: PMC6032284 DOI: 10.3390/ijms19061821] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Revised: 06/14/2018] [Accepted: 06/16/2018] [Indexed: 12/22/2022] Open
Abstract
Rho-class small GTPases are implicated in basic cellular processes at nearly all brain developmental steps, from neurogenesis and migration to axon guidance and synaptic plasticity. GTPases are key signal transducing enzymes that link extracellular cues to the neuronal responses required for the construction of neuronal networks, as well as for synaptic function and plasticity. Rho GTPases are highly regulated by a complex set of activating (GEFs) and inactivating (GAPs) partners, via protein:protein interactions (PPI). Misregulated RhoA, Rac1/Rac3 and cdc42 activity has been linked with intellectual disability (ID) and other neurodevelopmental conditions that comprise ID. All genetic evidences indicate that in these disorders the RhoA pathway is hyperactive while the Rac1 and cdc42 pathways are consistently hypoactive. Adopting cultured neurons for in vitro testing and specific animal models of ID for in vivo examination, the endophenotypes associated with these conditions are emerging and include altered neuronal networking, unbalanced excitation/inhibition and altered synaptic activity and plasticity. As we approach a clearer definition of these phenotype(s) and the role of hyper- and hypo-active GTPases in the construction of neuronal networks, there is an increasing possibility that selective inhibitors and activators might be designed via PPI, or identified by screening, that counteract the misregulation of small GTPases and result in alleviation of the cognitive condition. Here we review all knowledge in support of this possibility.
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18
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Valli M, Russo HM, Bolzani VS. The potential contribution of the natural products from Brazilian biodiversity to bioeconomy. AN ACAD BRAS CIENC 2018; 90:763-778. [PMID: 29668803 DOI: 10.1590/0001-3765201820170653] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 09/20/2017] [Indexed: 01/05/2023] Open
Abstract
The development of our society has been based on the use of biodiversity, especially for medicines and nutrition. Brazil is the nation with the largest biodiversity in the world accounting for more than 15% of all living species. The devastation of biodiversity in Brazil is critical and may not only cause the loss of species and genes that encode enzymes involved in the complex metabolism of organisms, but also the loss of a rich chemical diversity, which is a potential source for bioeconomy based on natural products and new synthetic derivatives. Bioeconomy focus on the use of bio-based products, instead of fossil-based ones and could address some of the important challenges faced by society. Considering the chemical and biological diversity of Brazil, this review highlights the Brazilian natural products that were successfully used to develop new products and the value of secondary metabolites from Brazilian biodiversity with potential application for new products and technologies. Additionally, we would like to address the importance of new technologies and scientific programs to support preservation policies, bioeconomy and strategies for the sustainable use of biodiversity.
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Affiliation(s)
- Marilia Valli
- Núcleo de Bioensaios, Biossíntese e Ecofisiologia de Produtos Naturais (NuBBE), Departamento de Química Orgânica, Instituto de Química, Universidade Estadual Paulista 'Júlio de Mesquita Filho', Av. Prof. Francisco Degni, 55, 14801-970 Araraquara, SP, Brazil
| | - Helena M Russo
- Núcleo de Bioensaios, Biossíntese e Ecofisiologia de Produtos Naturais (NuBBE), Departamento de Química Orgânica, Instituto de Química, Universidade Estadual Paulista 'Júlio de Mesquita Filho', Av. Prof. Francisco Degni, 55, 14801-970 Araraquara, SP, Brazil
| | - Vanderlan S Bolzani
- Núcleo de Bioensaios, Biossíntese e Ecofisiologia de Produtos Naturais (NuBBE), Departamento de Química Orgânica, Instituto de Química, Universidade Estadual Paulista 'Júlio de Mesquita Filho', Av. Prof. Francisco Degni, 55, 14801-970 Araraquara, SP, Brazil
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19
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Da Silva F, Desaphy J, Rognan D. IChem: A Versatile Toolkit for Detecting, Comparing, and Predicting Protein-Ligand Interactions. ChemMedChem 2017; 13:507-510. [PMID: 29024463 PMCID: PMC5901026 DOI: 10.1002/cmdc.201700505] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Revised: 10/06/2017] [Indexed: 12/21/2022]
Abstract
Structure-based ligand design requires an exact description of the topology of molecular entities under scrutiny. IChem is a software package that reflects the many contributions of our research group in this area over the last decade. It facilitates and automates many tasks (e.g., ligand/cofactor atom typing, identification of key water molecules) usually left to the modeler's choice. It therefore permits the detection of molecular interactions between two molecules in a very precise and flexible manner. Moreover, IChem enables the conversion of intricate three-dimensional (3D) molecular objects into simple representations (fingerprints, graphs) that facilitate knowledge acquisition at very high throughput. The toolkit is an ideal companion for setting up and performing many structure-based design computations.
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Affiliation(s)
- Franck Da Silva
- Laboratoire d'Innovation Thérapeutique, UMR 7200 CNRS-Université de Strasbourg, 74 route du Rhin, 67400, Illkirch, France
| | - Jeremy Desaphy
- Laboratoire d'Innovation Thérapeutique, UMR 7200 CNRS-Université de Strasbourg, 74 route du Rhin, 67400, Illkirch, France.,Discovery Chemistry Research and Technologies, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, 46285, USA
| | - Didier Rognan
- Laboratoire d'Innovation Thérapeutique, UMR 7200 CNRS-Université de Strasbourg, 74 route du Rhin, 67400, Illkirch, France
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20
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Bosc N, Kuenemann MA, Bécot J, Vavrusa M, Cerdan AH, Sperandio O. Privileged Substructures to Modulate Protein-Protein Interactions. J Chem Inf Model 2017; 57:2448-2462. [PMID: 28922596 DOI: 10.1021/acs.jcim.7b00435] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Given the difficulties to identify chemical probes that can modulate protein-protein interactions (PPIs), actors in the field have started to agree on the necessity to use PPI-tailored screening chemical collections. However, which type of scaffolds may promote the binding of compounds to PPI targets remains unclear. In this big data analysis, we have identified a list of privileged chemical substructures that are most often observed within inhibitors of PPIs. Using molecular frameworks as a way to perceive chemical substructures with the combination of an experimental and a machine-learning based predicted data set of iPPI compounds, we propose a list of privileged substructures in the form of scaffolds and chemical moieties that can be substantially chemically functionalized and do not present any toxicophore nor pan-assay interference (PAINS) alerts. We think that such chemical guidance will be valuable for medicinal chemists in their attempt to identify initial quality chemical probes on PPI targets.
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Affiliation(s)
- Nicolas Bosc
- Inserm, U973 , Paris 75013, France.,Université Paris Diderot, Sorbonne Paris Cité, UMRS 973 Inserm , Paris 75013, France.,Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur , 25-28 rue du Dr Roux, Paris 75015, France.,CNRS UMR3528, Institut Pasteur , 25-28 rue du Dr Roux, Paris 75015, France
| | - Mélaine A Kuenemann
- Inserm, U973 , Paris 75013, France.,Université Paris Diderot, Sorbonne Paris Cité, UMRS 973 Inserm , Paris 75013, France
| | - Jerome Bécot
- Inserm, U973 , Paris 75013, France.,Université Paris Diderot, Sorbonne Paris Cité, UMRS 973 Inserm , Paris 75013, France
| | - Marek Vavrusa
- Inserm, U973 , Paris 75013, France.,Université Paris Diderot, Sorbonne Paris Cité, UMRS 973 Inserm , Paris 75013, France
| | - Adrien H Cerdan
- Inserm, U973 , Paris 75013, France.,Université Paris Diderot, Sorbonne Paris Cité, UMRS 973 Inserm , Paris 75013, France
| | - Olivier Sperandio
- Inserm, U973 , Paris 75013, France.,Université Paris Diderot, Sorbonne Paris Cité, UMRS 973 Inserm , Paris 75013, France.,Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur , 25-28 rue du Dr Roux, Paris 75015, France.,CNRS UMR3528, Institut Pasteur , 25-28 rue du Dr Roux, Paris 75015, France
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21
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Voter AF, Keck JL. Development of Protein-Protein Interaction Inhibitors for the Treatment of Infectious Diseases. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2017; 111:197-222. [PMID: 29459032 DOI: 10.1016/bs.apcsb.2017.07.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Protein-protein interaction (PPI) inhibitors are a rapidly expanding class of therapeutics. Recent advances in our understanding of PPIs and success of early examples of PPI inhibitors demonstrate the feasibility of targeting PPIs. This review summarizes the techniques used for the discovery and optimization of a diverse set PPI inhibitors, focusing on the development of PPI inhibitors as new antibacterial and antiviral agents. We close with a summary of the advances responsible for making PPI inhibitors realistic targets for therapeutic intervention and brief outlook of the field.
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Affiliation(s)
- Andrew F Voter
- University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - James L Keck
- University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.
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22
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Pilon AC, Valli M, Dametto AC, Pinto MEF, Freire RT, Castro-Gamboa I, Andricopulo AD, Bolzani VS. NuBBE DB: an updated database to uncover chemical and biological information from Brazilian biodiversity. Sci Rep 2017; 7:7215. [PMID: 28775335 PMCID: PMC5543130 DOI: 10.1038/s41598-017-07451-x] [Citation(s) in RCA: 98] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 06/28/2017] [Indexed: 01/24/2023] Open
Abstract
The intrinsic value of biodiversity extends beyond species diversity, genetic heritage, ecosystem variability and ecological services, such as climate regulation, water quality, nutrient cycling and the provision of reproductive habitats it is also an inexhaustible source of molecules and products beneficial to human well-being. To uncover the chemistry of Brazilian natural products, the Nuclei of Bioassays, Ecophysiology and Biosynthesis of Natural Products Database (NuBBEDB) was created as the first natural product library from Brazilian biodiversity. Since its launch in 2013, the NuBBEDB has proven to be an important resource for new drug design and dereplication studies. Consequently, continuous efforts have been made to expand its contents and include a greater diversity of natural sources to establish it as a comprehensive compendium of available biogeochemical information about Brazilian biodiversity. The content in the NuBBEDB is freely accessible online (https://nubbe.iq.unesp.br/portal/nubbedb.html) and provides validated multidisciplinary information, chemical descriptors, species sources, geographic locations, spectroscopic data (NMR) and pharmacological properties. Herein, we report the latest advancements concerning the interface, content and functionality of the NuBBEDB. We also present a preliminary study on the current profile of the compounds present in Brazilian territory.
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Affiliation(s)
- Alan C Pilon
- Nuclei of Bioassays, Biosynthesis and Ecophysiology of Natural Products (NuBBE), Department of Organic Chemistry, Institute of Chemistry, Sao Paulo State University - UNESP, 14800-060, Araraquara, SP, Brazil
| | - Marilia Valli
- Nuclei of Bioassays, Biosynthesis and Ecophysiology of Natural Products (NuBBE), Department of Organic Chemistry, Institute of Chemistry, Sao Paulo State University - UNESP, 14800-060, Araraquara, SP, Brazil
| | - Alessandra C Dametto
- Nuclei of Bioassays, Biosynthesis and Ecophysiology of Natural Products (NuBBE), Department of Organic Chemistry, Institute of Chemistry, Sao Paulo State University - UNESP, 14800-060, Araraquara, SP, Brazil
| | - Meri Emili F Pinto
- Nuclei of Bioassays, Biosynthesis and Ecophysiology of Natural Products (NuBBE), Department of Organic Chemistry, Institute of Chemistry, Sao Paulo State University - UNESP, 14800-060, Araraquara, SP, Brazil
| | - Rafael T Freire
- Centro de Imagens e Espectroscopia in vivo por Ressonância Magnética, Institute of Physics of Sao Carlos, University of Sao Paulo - USP, 13566-590, Sao Carlos, SP, Brazil
| | - Ian Castro-Gamboa
- Nuclei of Bioassays, Biosynthesis and Ecophysiology of Natural Products (NuBBE), Department of Organic Chemistry, Institute of Chemistry, Sao Paulo State University - UNESP, 14800-060, Araraquara, SP, Brazil
| | - Adriano D Andricopulo
- Laboratório de Química Medicinal e Computacional (LQMC), Centro de Pesquisa e Inovação em Biodiversidade eFármacos, Institute of Physics of Sao Carlos, University of Sao Paulo - USP, 13563-120, Sao Carlos, SP, Brazil
| | - Vanderlan S Bolzani
- Nuclei of Bioassays, Biosynthesis and Ecophysiology of Natural Products (NuBBE), Department of Organic Chemistry, Institute of Chemistry, Sao Paulo State University - UNESP, 14800-060, Araraquara, SP, Brazil.
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23
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Richter MF, Drown BS, Riley AP, Garcia A, Shirai T, Svec RL, Hergenrother PJ. Predictive compound accumulation rules yield a broad-spectrum antibiotic. Nature 2017; 545:299-304. [PMID: 28489819 DOI: 10.1038/nature22308] [Citation(s) in RCA: 482] [Impact Index Per Article: 68.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 03/23/2017] [Indexed: 12/22/2022]
Abstract
Most small molecules are unable to rapidly traverse the outer membrane of Gram-negative bacteria and accumulate inside these cells, making the discovery of much-needed drugs against these pathogens challenging. Current understanding of the physicochemical properties that dictate small-molecule accumulation in Gram-negative bacteria is largely based on retrospective analyses of antibacterial agents, which suggest that polarity and molecular weight are key factors. Here we assess the ability of over 180 diverse compounds to accumulate in Escherichia coli. Computational analysis of the results reveals major differences from the retrospective studies, namely that the small molecules that are most likely to accumulate contain an amine, are amphiphilic and rigid, and have low globularity. These guidelines were then applied to convert deoxynybomycin, a natural product that is active only against Gram-positive organisms, into an antibiotic with activity against a diverse panel of multi-drug-resistant Gram-negative pathogens. We anticipate that these findings will aid in the discovery and development of antibiotics against Gram-negative bacteria.
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Affiliation(s)
- Michelle F Richter
- University of Illinois, Department of Chemistry and Institute for Genomic Biology, Urbana, Illinois 61801, USA
| | - Bryon S Drown
- University of Illinois, Department of Chemistry and Institute for Genomic Biology, Urbana, Illinois 61801, USA
| | - Andrew P Riley
- University of Illinois, Department of Chemistry and Institute for Genomic Biology, Urbana, Illinois 61801, USA
| | - Alfredo Garcia
- University of Illinois, Department of Chemistry and Institute for Genomic Biology, Urbana, Illinois 61801, USA
| | - Tomohiro Shirai
- University of Illinois, Department of Chemistry and Institute for Genomic Biology, Urbana, Illinois 61801, USA
| | - Riley L Svec
- University of Illinois, Department of Chemistry and Institute for Genomic Biology, Urbana, Illinois 61801, USA
| | - Paul J Hergenrother
- University of Illinois, Department of Chemistry and Institute for Genomic Biology, Urbana, Illinois 61801, USA
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24
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Lagorce D, Douguet D, Miteva MA, Villoutreix BO. Computational analysis of calculated physicochemical and ADMET properties of protein-protein interaction inhibitors. Sci Rep 2017; 7:46277. [PMID: 28397808 PMCID: PMC5387685 DOI: 10.1038/srep46277] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Accepted: 03/13/2017] [Indexed: 12/18/2022] Open
Abstract
The modulation of PPIs by low molecular weight chemical compounds, particularly by orally bioavailable molecules, would be very valuable in numerous disease indications. However, it is known that PPI inhibitors (iPPIs) tend to have properties that are linked to poor Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) and in some cases to poor clinical outcomes. Previously reported in silico analyses of iPPIs have essentially focused on physicochemical properties but several other ADMET parameters would be important to assess. In order to gain new insights into the ADMET properties of iPPIs, computations were carried out on eight datasets collected from several databases. These datasets involve compounds targeting enzymes, GPCRs, ion channels, nuclear receptors, allosteric modulators, oral marketed drugs, oral natural product-derived marketed drugs and iPPIs. Several trends are reported that should assist the design and optimization of future PPI inhibitors, either for drug discovery endeavors or for chemical biology projects.
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Affiliation(s)
- David Lagorce
- INSERM, U973, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Dominique Douguet
- CNRS UMR7275, Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d’Azur, Valbonne, France
| | - Maria A. Miteva
- INSERM, U973, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
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