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What Are We Missing by Using Hydrophilic Enrichment? Improving Bacterial Glycoproteome
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.22.216903; this version posted July 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. 1 What are we missing by using hydrophilic enrichment? Improving bacterial glycoproteome 2 coverage using total proteome and FAIMS analysis. 3 4 Ameera Raudah Ahmad Izaham1 Ching-Seng Ang2, Shuai Nie2, Lauren E. Bird1, Nicholas A. 5 Williamson2 and Nichollas E. Scott1# 6 7 1Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty 8 Institute for Infection and Immunity, Melbourne 3000, Australia 9 2Melbourne Mass Spectrometry and Proteomics Facility, The Bio21 Molecular Science and 10 Biotechnology Institute, University of Melbourne, Parkville, VIC, 3010, Australia. 11 12 13 14 Running title: identifying HILIC inaccessible glycopeptides within bacterial glycoproteomes 15 16 17 18 19 20 Keywords: Glycoproteomics, FAIMS, HILIC, Glycopeptide enrichment, Bacterial glycosylation, 21 Burkholderia 22 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.22.216903; this version posted July 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. 23 ABSTRACT 24 Hydrophilic Interaction Liquid Chromatography (HILIC) glycopeptide enrichment is an 25 indispensable tool for the high-throughput characterisation of glycoproteomes. Despite its utility, 26 HILIC enrichment is associated with a number of short comings including requiring large amounts 27 of starting material, potentially introducing chemical artefacts such as formylation, and 28 biasing/under-sampling specific classes of glycopeptides. -
University of Dundee New Synthetic Routes to Triazolo
University of Dundee New synthetic routes to Triazolo-benzodiazepine analogues Baud, Matthias G. J.; Lin-Shiao, Enrique; Zengerle, Michael; Tallant, Cynthia; Ciulli, Alessio Published in: Journal of Medicinal Chemistry DOI: 10.1021/acs.jmedchem.5b01135 Publication date: 2016 Document Version Publisher's PDF, also known as Version of record Link to publication in Discovery Research Portal Citation for published version (APA): Baud, M. G. J., Lin-Shiao, E., Zengerle, M., Tallant, C., & Ciulli, A. (2016). New synthetic routes to Triazolo- benzodiazepine analogues: expanding the scope of the bump-and-hole approach for selective Bromo and Extra- Terminal (BET) bromodomain inhibition. Journal of Medicinal Chemistry, 59(4), 1492-1500. DOI: 10.1021/acs.jmedchem.5b01135 General rights Copyright and moral rights for the publications made accessible in Discovery Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from Discovery Research Portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain. • You may freely distribute the URL identifying the publication in the public portal. Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 17. Feb. 2017 This is an open access article published under a Creative Commons Attribution (CC-BY) License, which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. -
Link Mining for Kernel-Based Compound-Protein Interaction Predictions Using a Chemogenomics Approach
Link Mining for Kernel-based Compound-Protein Interaction Predictions Using a Chemogenomics Approach Masahito Ohue1,2,3,4*, Takuro Yamazaki3, Tomohiro Ban4, and Yutaka Akiyama1,2,3,4* 1Department of Computer Science, School of Computing, Tokyo Institute of Technology, Japan 2Advanced Computational Drug Discovery Unit, Institute of Innovative Research, Tokyo Institute of Technology, Japan 3Department of Computer Science, Faculty of Engineering, Tokyo Institute of Technology, Japan 4Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Japan *[email protected], [email protected] Abstract. Virtual screening (VS) is widely used during computational drug dis- covery to reduce costs. Chemogenomics-based virtual screening (CGBVS) can be used to predict new compound-protein interactions (CPIs) from known CPI network data using several methods, including machine learning and data min- ing. Although CGBVS facilitates highly efficient and accurate CPI prediction, it has poor performance for prediction of new compounds for which CPIs are un- known. The pairwise kernel method (PKM) is a state-of-the-art CGBVS method and shows high accuracy for prediction of new compounds. In this study, on the basis of link mining, we improved the PKM by combining link indicator kernel (LIK) and chemical similarity and evaluated the accuracy of these methods. The proposed method obtained an average area under the precision-recall curve (AUPR) value of 0.562, which was higher than that achieved by the conven- tional Gaussian interaction profile (GIP) method (0.425), and the calculation time was only increased by a few percent. Keywords: virtual screening; compound-protein interactions (CPIs); pairwise kernel; link mining; link indicator kernels (LIKs) 1 Introduction Virtual screening (VS), in which drug candidate compounds are selected by a computational method, is one of the main processes in the early stages of drug dis- covery. -
Endogenous Metabolites in Drug Discovery: from Plants to Humans
Endogenous Metabolites in Drug Discovery: from Plants to Humans Joaquim Olivés Farrés TESI DOCTORAL UPF / ANY 201 6 DIRECTOR DE LA TESI: Dr. Jordi Mestres CEXS Department The research in this T hesis has been carried out at the Systems Pharmacolo gy Group , within the Research Programme on Biomedical Informatics (GRIB) at the Parc de Recerca Biomèdica de Barcelona (PRBB). The research presented in this T hesis has been supported by Ministerio de Ciencia e Innovación project BIO2014 - 54404 - R and BIO2011 - 26669 . Printing funded by the Fundació IMIM’s program “Convocatòria d'ajuts 2016 per a la finalització de tesis doctorals de la Fundació IMIM.” Agraïments Voldria donar les gràcies a tanta gent que em fa por deixar - me ningú. Però per c omençar haig agrair en especial al meu director la tesi, Jordi Mestres, per donar - me la oportunitat de formar part del seu laboratori i poder desenvolupar aquí el treball que aquí es presenta. A més d’oferir l’ajuda necessària sempre que ha calgut. També haig de donar les gràcies a tots els companys del grup de Farmacologia de Sistemes que he anat coneguent durants tots aquests anys en què he estat aquí, en especial en Xavi, a qui li he preguntat mil coses, en Nikita, pels sdfs que m’ha anat llençant a CTL ink, i la Irene i la Cristina, que els seus treballs també m’ajuden a completar la tesis. I cal agrair també a la resta de companys del laboratori, l’Albert, la Viktoria, la Mari Carmen, l’Andreas, en George, l’Eric i l’Andreu; de Chemotargets, en Ricard i en David; i altres membres del GRIB, com són l’Alfons, en Miguel, en Pau, l’Oriol i la Carina. -
Chemogenomics: an Emerging Strategy for Rapid Target and Drug Discovery
REVIEWS CHEMOGENOMICS: AN EMERGING STRATEGY FOR RAPID TARGET AND DRUG DISCOVERY Markus Bredel*‡ and Edgar Jacoby§ Chemogenomics is an emerging discipline that combines the latest tools of genomics and chemistry and applies them to target and drug discovery. Its strength lies in eliminating the bottleneck that currently occurs in target identification by measuring the broad, conditional effects of chemical libraries on whole biological systems or by screening large chemical libraries quickly and efficiently against selected targets. The hope is that chemogenomics will concurrently identify and validate therapeutic targets and detect drug candidates to rapidly and effectively generate new treatments for many human diseases. Over the past five decades, pharmacological compounds however, that owing to the emergence of various sub- TRANSCRIPTIONAL PROFILING The study of the transcriptome have been identified that collectively target the products specialties of chemogenomics (discussed in the next — the complete set of RNA of ~400–500 genes in the human body; however, only section) and the involvement of several disciplines, it is transcripts that are produced by ~120 of these genes have reached the market as the tar- currently almost impossible to give a simple and com- the genome at any one time — gets of drugs1,2.The Human Genome Project3,4 has mon definition for this research discipline (BOX 1). using high-throughput methods, such as microarray made available many potential new targets for drug In chemogenomics-based drug discovery, large col- analysis. intervention: several thousand of the approximately lections of chemical products are screened for the paral- 30,000–40,000 estimated human genes4 could be associ- lel identification of biological targets and biologically ated with disease and, similarly, several thousand active compounds. -
Chemogenomics:Chemogenomics 19/4/07 16:30 Page 57
Chemogenomics:Chemogenomics 19/4/07 16:30 Page 57 Genomics CHEMOGENOMICS a gene family approach to parallel drug discovery Currently available drugs only target around 500 different proteins4. Recent reports from efforts to sequence the human genome suggest there are tens of thousands of genes1,2 and many more different proteins. Popular estimates of the number of ‘new’ drug targets that will emerge from genomic research range from 2,000 to 5,0003. A critical question as we enter the post-genomic world is: how can the pharmaceutical industry rapidly discover and develop medicines for these new targets to improve the human condition? n the pharmaceutical industry to date, research QSAR, structure-based drug design and informat- By Dr Paul R. Caron, and early development activities have typically ics, have accelerated the drug discovery process4. Dr Michael D. Ibeen organised according to therapeutic area. Dramatically new and different drug discovery Mullican, Dr Robert In organising their drug discovery efforts in this approaches, however, are needed to take full D. Mashal, Dr Keith P. way, companies have sought to create efficiency by advantage of the massive influx of targets being Wilson, Dr Michael S. building a critical mass of expertise and experience elucidated through genomic research. Simply stat- Su and Dr Mark A. in the biology of related diseases. Over the past 20- ed, a therapeutic area focus and a single target Murcko 30 years this organisational approach has proved drug discovery approach do not create enough effi- successful for many companies. While there is no ciency to allow companies to keep pace with the doubt that this strategy produces some synergies in massive inflows of new target information. -
An Emerging Strategy for Rapid Target and Drug Discovery
R E V I E W S CHEMOGENOMICS: AN EMERGING STRATEGY FOR RAPID TARGET AND DRUG DISCOVERY Markus Bredel*‡ and Edgar Jacoby§ Chemogenomics is an emerging discipline that combines the latest tools of genomics and chemistry and applies them to target and drug discovery. Its strength lies in eliminating the bottleneck that currently occurs in target identification by measuring the broad, conditional effects of chemical libraries on whole biological systems or by screening large chemical libraries quickly and efficiently against selected targets. The hope is that chemogenomics will concurrently identify and validate therapeutic targets and detect drug candidates to rapidly and effectively generate new treatments for many human diseases. Over the past five decades, pharmacological compounds however, that owing to the emergence of various sub- TRANSCRIPTIONAL PROFILING The study of the transcriptome have been identified that collectively target the products specialties of chemogenomics (discussed in the next — the complete set of RNA of ~400–500 genes in the human body; however, only section) and the involvement of several disciplines, it is transcripts that are produced by ~120 of these genes have reached the market as the tar- currently almost impossible to give a simple and com- the genome at any one time — gets of drugs1,2. The Human Genome Project3,4 has mon definition for this research discipline (BOX 1). using high-throughput methods, such as microarray made available many potential new targets for drug In chemogenomics-based drug discovery, large col- analysis. intervention: several thousand of the approximately lections of chemical products are screened for the paral- 30,000–40,000 estimated human genes4 could be associ- lel identification of biological targets and biologically ated with disease and, similarly, several thousand active compounds. -
University of Dundee Chemical Genetics Approaches For
CORE Metadata, citation and similar papers at core.ac.uk Provided by University of Dundee Online Publications University of Dundee Chemical genetics approaches for selective intervention in epigenetics Runcie, Andrew C.; Chan, Kwok Ho; Zengerle, Michael; Ciulli, Alessio Published in: Current Opinion in Chemical Biology DOI: 10.1016/j.cbpa.2016.06.031 Publication date: 2016 Document Version Publisher's PDF, also known as Version of record Link to publication in Discovery Research Portal Citation for published version (APA): Runcie, A. C., Chan, K. H., Zengerle, M., & Ciulli, A. (2016). Chemical genetics approaches for selective intervention in epigenetics. Current Opinion in Chemical Biology, 33, 186-194. DOI: 10.1016/j.cbpa.2016.06.031 General rights Copyright and moral rights for the publications made accessible in Discovery Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from Discovery Research Portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain. • You may freely distribute the URL identifying the publication in the public portal. Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 17. Feb. 2017 Available online at www.sciencedirect.com ScienceDirect Chemical genetics approaches for selective intervention in epigenetics Andrew C Runcie, Kwok-Ho Chan, Michael Zengerle and Alessio Ciulli Chemical genetics is the use of biologically active small [3], but alters a different point in the gene–protein–pheno- molecules (chemical probes) to investigate the functions of type relationship. -
From Phenotypic Hit to Chemical Probe: Chemical Biology Approaches to Elucidate Small Molecule Action in Complex Biological Systems
molecules Review From Phenotypic Hit to Chemical Probe: Chemical Biology Approaches to Elucidate Small Molecule Action in Complex Biological Systems Quentin T. L. Pasquer , Ioannis A. Tsakoumagkos and Sascha Hoogendoorn * Department of Organic Chemistry, University of Geneva, Quai Ernest-Ansermet 30, 1211 Genève, Switzerland; [email protected] (Q.T.L.P.); [email protected] (I.A.T.) * Correspondence: [email protected]; Tel.: +41-223796085 Academic Editor: Steven Verhelst Received: 9 November 2020; Accepted: 1 December 2020; Published: 3 December 2020 Abstract: Biologically active small molecules have a central role in drug development, and as chemical probes and tool compounds to perturb and elucidate biological processes. Small molecules can be rationally designed for a given target, or a library of molecules can be screened against a target or phenotype of interest. Especially in the case of phenotypic screening approaches, a major challenge is to translate the compound-induced phenotype into a well-defined cellular target and mode of action of the hit compound. There is no “one size fits all” approach, and recent years have seen an increase in available target deconvolution strategies, rooted in organic chemistry, proteomics, and genetics. This review provides an overview of advances in target identification and mechanism of action studies, describes the strengths and weaknesses of the different approaches, and illustrates the need for chemical biologists to integrate and expand the existing tools to increase the probability of evolving screen hits to robust chemical probes. Keywords: phenotypic screening; target identification; mechanism of action; drug discovery; chemical probes; photo-affinity labeling; proteomics; genetic screens; resistance cloning 1. -
Network-Based Characterization of Drug-Protein Interaction Signatures
Tabei et al. BMC Systems Biology 2019, 13(Suppl 2):39 https://doi.org/10.1186/s12918-019-0691-1 RESEARCH Open Access Network-based characterization of drug-protein interaction signatures with a space-efficient approach Yasuo Tabei1*, Masaaki Kotera2, Ryusuke Sawada3 and Yoshihiro Yamanishi3,4 From The 17th Asia Pacific Bioinformatics Conference (APBC 2019) Wuhan, China. 14–16 January 2019 Abstract Background: Characterization of drug-protein interaction networks with biological features has recently become challenging in recent pharmaceutical science toward a better understanding of polypharmacology. Results: We present a novel method for systematic analyses of the underlying features characteristic of drug-protein interaction networks, which we call “drug-protein interaction signatures” from the integration of large-scale heterogeneous data of drugs and proteins. We develop a new efficient algorithm for extracting informative drug- protein interaction signatures from the integration of large-scale heterogeneous data of drugs and proteins, which is made possible by space-efficient representations for fingerprints of drug-protein pairs and sparsity-induced classifiers. Conclusions: Our method infers a set of drug-protein interaction signatures consisting of the associations between drug chemical substructures, adverse drug reactions, protein domains, biological pathways, and pathway modules. We argue the these signatures are biologically meaningful and useful for predicting unknown drug-protein interactions and are expected to contribute to rational drug design. Keywords: Drug-protein interaction prediction, Drug discovery, Large-scale prediction Background similar drugs are expected to interact with similar pro- Target proteins of drug molecules are classified into a pri- teins, with which the similarity of drugs and proteins are mary target and off-targets. -
From Chemical to Systems Biology: How Chemoinformatics Can Contribute?
From Chemical to Systems Biology: How Chemoinformatics can contribute? Olivier Taboureau, Computational Chemical Biology group SSSC, June 27, 2012 Computational Chemical Biology Objective: Understand the relationship between chemical actions (environmental chemicals, drugs, natural products) and disease susceptibility genes. Chemoinformatics Biological networks Gene expression data analysis Functional human variation Toxicogenomics Integrative Chemical Biology From Chemical to Systems Biology POLYPHARMACOLOGY CHEMOGENOMICS NETWORK PHARMACOLOGY SYSTEMS PHARMACOLOGY Small compounds Human body Structural information Biological pathways Bioactivity information Protein-protein interactions Gene expression data Disease phenotypes Side effect data, etc... etc... Oprea et al. Nature Chem Biol (2007) 3, 447-450 How can we do that? Many possibilities… Butcher EC, Berg EL, Kunkel EJ. Systems biology in drug discovery. Nat Biotech 2004; 22: 1253-9. Where to start? We hope for a simple concept… Drug Gene Phenotype But in reality it is not so simple Phenotype Phenotype Gene Phenotype Side Effects Side Effects Gene Gene Phenotype Phenotype Gene Drug Gene Gene Gene Side Effects Gene Phenotype Phenotype Side Effects What is the number of targets for a drug? 4400 drugs, 2.7 targets/drug in average 1081 drugs, 5.69 targets/ drug in average Wombat-PK The pharmacology of a drug is still sparse Chemical similarity Proteins Garcia-Serna R et al. Nat. Bioinformacs 2010 Compounds Keiser MJ et al. Nat. Biotech 2007 Drug-target network Yildirim M et al. Nat. Biotech 2007 Genes-tissues specificity What about phenotypes? Protein-Protein interactions Network (PPI) disease Especially genetic disorders (color blindness, Huntington’s disease, Cystic fibrosis) disease Prader-Willi syndrome (7 genes) disease Cancer, diabetes, mental illness A quality-controlled human protein interaction network 500 000 interactions Download and between 10,300 Trans organism Automated scoring reformat PPI human proteins databases ppi transferral of all interactions Lage et al. -
Chemical Genetics Approaches for Selective Intervention in Epigenetics Runcie, Andrew C.; Chan, Kwok Ho; Zengerle, Michael; Ciulli, Alessio
University of Dundee Chemical genetics approaches for selective intervention in epigenetics Runcie, Andrew C.; Chan, Kwok Ho; Zengerle, Michael; Ciulli, Alessio Published in: Current Opinion in Chemical Biology DOI: 10.1016/j.cbpa.2016.06.031 Publication date: 2016 Licence: CC BY-NC-ND Document Version Publisher's PDF, also known as Version of record Link to publication in Discovery Research Portal Citation for published version (APA): Runcie, A. C., Chan, K. H., Zengerle, M., & Ciulli, A. (2016). Chemical genetics approaches for selective intervention in epigenetics. Current Opinion in Chemical Biology, 33, 186-194. https://doi.org/10.1016/j.cbpa.2016.06.031 General rights Copyright and moral rights for the publications made accessible in Discovery Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from Discovery Research Portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain. • You may freely distribute the URL identifying the publication in the public portal. Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 30. Sep. 2021 Available online at www.sciencedirect.com ScienceDirect Chemical genetics approaches for selective intervention in epigenetics Andrew C Runcie, Kwok-Ho Chan, Michael Zengerle and Alessio Ciulli Chemical genetics is the use of biologically active small [3], but alters a different point in the gene–protein–pheno- molecules (chemical probes) to investigate the functions of type relationship.