Small-Molecule Antibiotic Inhibitors of Post-Translational Protein Secretion
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Raman Imaging of Small Biomolecules
BB48CH15_Min ARjats.cls April 16, 2019 13:8 Annual Review of Biophysics Raman Imaging of Small Biomolecules Yihui Shen, Fanghao Hu, and Wei Min Department of Chemistry, Columbia University, New York, NY 10027, USA; email: [email protected] Annu. Rev. Biophys. 2019. 48:347–69 Keywords First published as a Review in Advance on Raman microscopy, small molecule imaging, vibrational tags, lipid March 20, 2019 metabolism, drug imaging The Annual Review of Biophysics is online at biophys.annualreviews.org Abstract Access provided by Columbia University on 06/21/19. For personal use only. https://doi.org/10.1146/annurev-biophys-052118- Imaging techniques greatly facilitate the comprehensive knowledge of Annu. Rev. Biophys. 2019.48:347-369. Downloaded from www.annualreviews.org 115500 biological systems. Although imaging methodology for biomacromolecules Copyright © 2019 by Annual Reviews. such as protein and nucleic acids has been long established, micro- All rights reserved scopic techniques and contrast mechanisms are relatively limited for small biomolecules, which are equally important participants in biological pro- cesses. Recent developments in Raman imaging, including both microscopy and tailored vibrational tags, have created exciting opportunities for non- invasive imaging of small biomolecules in living cells, tissues, and organ- isms. Here, we summarize the principle and workflow of small-biomolecule imaging by Raman microscopy. Then, we review recent efforts in imaging, for example, lipids, metabolites, and drugs. The unique advantage of Raman imaging has been manifested in a variety of applications that have provided novel biological insights. 347 BB48CH15_Min ARjats.cls April 16, 2019 13:8 Contents THENEEDFORIMAGINGSMALLBIOMOLECULES........................ 348 IMAGINGSMALLMOLECULESBYVIBRATIONALCONTRAST............. 349 LINEAR AND NONLINEAR RAMAN SCATTERING SPECTROSCOPY ANDMICROSCOPY......................................................... -
Small Molecules, Big Impact
FOR RESEARCH USE ONLY. NOT INTENDED FOR HUMAN OR ANIMAL DIAGNOSTIC OR THERAPEUTIC USES. STEMCELL TECHNOLOGIES INC.’S QUALITY MANAGEMENT SYSTEM IS CERTIFIED TO ISO 13485 MEDICAL DEVICE STANDARDS. TGFβ: The TGFβ superfamily members are major regulators of self-renewal and differentiation to mesendodermal lineages. p38 / p53: p38 MAPK is activated in response to cellular stresses, and influences apoptosis and cellular differentiation. p53 is activated in Pathway Activators: IDE1, IDE2; Pathway Inhibitors: SB431542, LY364947, RepSox, Dorsomorphin, LDN193189 response to cellular stresses and regulates growth arrest, apoptosis and/or DNA repair. Inhibition of p53 is used to facilitate reprogramming. Pathway Inhibitors: BIRB-796, SB202190, SB203580, Cyclic Pifithrin-α, Pifithrin-μ Hedgehog: The Hedgehog pathway is important in the differentiation of mesenchymal subtypes (e.g. osteocytes) and in neural subtypes (e.g. dopaminergic neurons). FGF: FGF signaling via MEK/ERK is critical for self-renewal and proliferation of human PSCs. However, other receptor tyrosine kinases can Pathway Activator: Purmorphamine; Pathway Inhibitors: Cyclopamine, HPI-1 also act through the MEK/ERK and PI3K signaling pathways. Pathway Activators: Pyrintegrin, PS-48; Pathway Inhbitors: Pluripotin, PD0325901, PD98059, Reversine IWP-2 WNT: The WNT pathway regulates differentiation to the mesoendodermal lineages, induces self-renewal of PSCs, and aids in reprogramming. IWP-3 Pathway Activators: BIO, CHIR99021, Kenpaullone, SB216763; Pathway Inhibitors: IWP-2, IWP-3, IWP-4, -
Monoclonal Antibodies and Small-Molecule Drugs: WHAT GENERAL NEUROLOGISTS NEED to KNOW
THIS CONTENT IS SPONSORED BY AMGEN INC. AND NOVARTIS PHARMACEUTICALS CORPORATION USA-334-83498 Monoclonal Antibodies and Small-Molecule Drugs: WHAT GENERAL NEUROLOGISTS NEED TO KNOW APRIL 2020 I VOL. 28 NO. 4 A Member of the Network Introduction plasma concentration 1–8 days) than IV, but this route permits self- Numerous drug modalities have been approved to treat neurologic administration at home.9,22 diseases, including small-molecule drugs (SMDs) and biologics SMDs generally have wide distribution into tissues, organs and such as monoclonal antibodies (mAbs).1-3 While both are consid- plasma.10,23 They are metabolized by CYP450 enzymes via oxidation, ered targeted therapies,2-7 each has unique characteristics that may leading to renal elimination in the urine, and by conjugation reac- affect their use in clinical practice.5,8,9 This article describes the gen- tions (eg, glucuronidation), leading to hepatic/biliary elimination in eral characteristics of SMDs and mAbs and discusses some of their the stool.10,24,25 mAbs have a small range of distribution.10,23 Particu- safety implications relevant to their use by general neurologists in larly relevant to neurology, therapeutic mAbs do not readily cross clinical practice. the blood–brain barrier and therefore have minimal distribution in the central nervous system (CNS).8,9 Therapeutic mAbs are also Characteristics of SMDs and mAbs too large for clearance by renal or hepatic mechanisms, and instead The general characteristics and pharmacokinetics (PK) of are metabolized by two primary -
Mechanisms of Action for Small Molecules Revealed by Structural Biology in Drug Discovery
International Journal of Molecular Sciences Review Mechanisms of Action for Small Molecules Revealed by Structural Biology in Drug Discovery Qingxin Li 1,* and CongBao Kang 2,* 1 Guangdong Provincial Engineering Laboratory of Biomass High Value Utilization, Guangdong Provincial Bioengineering Institute (Guangzhou Sugarcane Industry Research Institute), Guangdong Academy of Sciences, Guangzhou 510316, China 2 Experimental Drug Development Centre (EDDC), Agency for Science, Technology and Research (A*STAR), 10 Biopolis Road, Chromos, #05-01, Singapore 138670, Singapore * Correspondence: [email protected] (Q.L.); [email protected] (C.K.); Tel.: +86-020-84168436 (Q.L.); +65-64070602 (C.K.) Received: 12 June 2020; Accepted: 20 July 2020; Published: 24 July 2020 Abstract: Small-molecule drugs are organic compounds affecting molecular pathways by targeting important proteins. These compounds have a low molecular weight, making them penetrate cells easily. Small-molecule drugs can be developed from leads derived from rational drug design or isolated from natural resources. A target-based drug discovery project usually includes target identification, target validation, hit identification, hit to lead and lead optimization. Understanding molecular interactions between small molecules and their targets is critical in drug discovery. Although many biophysical and biochemical methods are able to elucidate molecular interactions of small molecules with their targets, structural biology is the most powerful tool to determine the mechanisms of action for both targets and the developed compounds. Herein, we reviewed the application of structural biology to investigate binding modes of orthosteric and allosteric inhibitors. It is exemplified that structural biology provides a clear view of the binding modes of protease inhibitors and phosphatase inhibitors. -
Assessment of Combined Toxicity of Heavy Metals from Industrial Wastewaters on Photobacterium Phosphoreum T3S
Appl Water Sci DOI 10.1007/s13201-016-0385-4 ORIGINAL ARTICLE Assessment of combined toxicity of heavy metals from industrial wastewaters on Photobacterium phosphoreum T3S 1,2 1 2 1 2 BibiSaima Zeb • Zheng Ping • Qaisar Mahmood • Qiu Lin • Arshid Pervez • 2 2 2 Muhammad Irshad • Muhammad Bilal • Zulfiqar Ahmad Bhatti • Shahida Shaheen2 Received: 19 May 2015 / Accepted: 19 January 2016 Ó The Author(s) 2016. This article is published with open access at Springerlink.com Abstract This research work is focusing on the toxicities Introduction of heavy metals of industrial origin to anaerobic digestion of the industrial wastewater. Photobacterium phospho- The presence of heavy metals in excess amounts inter- reum T3S was used as an indicator organism. The acute feres with the beneficial uses of water because of the toxicities of heavy metals on P. phosphoreum T3S were toxicity of heavy metals and the biomagnification effect assessed during 15-min half inhibitory concentration brought on by its accumulation on ecology (Chang et al. (IC50) as indicator at pH 5.5–6. Toxicity assays involved 2006; Altas 2009). During recent times, heavy metals the assessment of multicomponent mixtures using TU and were focus of attention owing to their hazardous nature MTI approaches. The results of individual toxicity indi- and subsequent toxicity studies. Various workers have cated that the toxicity of Cd, Cu and Pb on P. phospho- assessed the combined toxicity of heavy metals (Su reum increased with increasing concentrations and there et al. 2012;Quetal.2013; Mochida et al. 2006). It has was a linear correlation. The 15-min IC50 values of Cd, Cu been argued that the effects caused by combinations of and Pb were 0.537, 1.905 and 1.231 mg/L, respectively, various heavy metals may be more threatening and and their toxic order was Cd [ Pb [ Cu. -
Introduction
Guidance for Assay Development & HTS March 2007 Version 5 Section I: Introduction Introduction Copyright © 2005, Eli Lilly and Company and the National Institutes of Health Chemical Genomics Center. All Rights Reserved. For more information, please review the Privacy Policy and Site Usage and Agreement. Table of Contents A. INTRODUCTION This document is written to provide guidance to investigators that are interested in developing assays useful for the evaluation of compound collections to identify chemical probes that modulate the activity of biological targets. Originally written as a guide for therapeutic projects teams within a major pharmaceutical company, this manual has been adapted to provide guidelines for: a. Identifying potential assay formats compatible with High Throughput Screen (HTS), and Structure Activity Relationship (SAR) b. Developing optimal assay reagents c. Optimizing assay protocol with respect to sensitivity, dynamic range, signal intensity and stability d. Adopting screening assays to automation and scale up in microtiter plate formats e. Statistical validation of the assay performance parameters f. Secondary follow up assays for chemical probe validation and SAR refinement g. Data standards to be followed in reporting screening and SAR assay results. General definition of biological assays This manual is intended to provide guidance in the area of biological assay development, screening and compound evaluation. In this regard an assay is defined by a set of reagents that produce a detectable signal allowing a biological process to be quantified. In general, the quality of an assay is defined by the robustness and reproducibility of this signal in the absence of any test compounds or in the presence of inactive compounds. -
Small Molecule and Protein Docking Introduction
Small Molecule and Protein Docking Introduction • A significant portion of biology is built on the paradigm sequence structure function • As we sequence more genomes and get more structural information, the next challenge will be to predict interactions and binding for two or more biomolecules (nucleic acids, proteins, peptides, drugs or other small molecules) Introduction • The questions we are interested in are: – Do two biomolecules bind each other? – If so, how do they bind? – What is the binding free energy or affinity? • The goals we have are: – Searching for lead compounds – Estimating effect of modifications – General understanding of binding – … Rationale • The ability to predict the binding site and binding affinity of a drug or compound is immensely valuable in the area or pharmaceutical design • Most (if not all) drug companies use computational methods as one of the first methods of screening or development • Computer-aided drug design is a more daunting task, but there are several examples of drugs developed with a significant contribution from computational methods Examples • Tacrine – inhibits acetylcholinesterase and boost acetylcholine levels (for treating Alzheimer’s disease) • Relenza – targets influenza • Invirase, Norvir, Crixivan – Various HIV protease inhibitors • Celebrex – inhibits Cox-2 enzyme which causes inflammation (not our fault) Docking • Docking refers to a computational scheme that tries to find the best binding orientation between two biomolecules where the starting point is the atomic coordinates of the two molecules • Additional data may be provided (biochemical, mutational, conservation, etc.) and this can significantly improve the performance, however this extra information is not required Bound vs. Unbound Docking • The simplest problem is the “bound” docking problem. -
Reporting Data from High-Throughput Screening of Small-Molecule Libraries
COMMENTARY Reporting data from high-throughput screening of small-molecule libraries James Inglese, Caroline E Shamu & R Kiplin Guy Publications reporting results of small-molecule screens are becoming more common as academic researchers increasingly make use of high-throughput screening (HTS) facilities. However, no standards have been formally established for reporting small-molecule screening data, and often key information important for the evaluation and interpretation of results is omitted in published HTS protocols. Here, we propose concise guidelines for reporting small-molecule HTS data. High-throughput screening (HTS) is becoming providing a basis for evaluation, comparison in the assay. Controls are used to determine a routine method for identifying probes used in and replication of small-molecule screens. We an assay ‘window’ and validate the biological chemical biology. The flexibility of the process have divided small-molecule screen protocol response. It is often desirable to provide an has allowed numerous and disparate areas of information into five categories: the assay, the indication as to the efficacy of the controls. biology to engage with an equally diverse palate library, the HTS process, the post-HTS analy- For example, here is an assay strategy descrip- of chemistry. However, with this diversity, the sis of data and compound structures, and the tion that might be written for a fluorescence many components associated with HTS—the screen results (Fig. 1). Within each category, polarization assay: bioassay, the assay format, the nature of the we describe key pieces of information that are library, reagent and sample delivery meth- important for interpretation and replication This screen was carried out to identify compounds ods, the detection instrumentation, the level of a screen (Table 1). -
Small Molecule Drug Discovery
Small Molecule Drug Discovery Centre for TIA Pipeline Drug Candidate Accelerator Optimisation TetraQ Other NCRIS facilities Universities, Medical research institutes Other therapeutic areas within TIA Small Molecule Discovery and Development Biological Target Compounds Australian Centre for Integrated Australia Translational Preclinical Drug Medicinal Development Chemistry Facility Australia is ideally positioned to be a major player in the global Pharma ecosystem where risk‑adverse companies are looking to in‑license assets that have demonstrated development potential. To enhance the progression of early stage discoveries through to preclinical development, TIA has formed a Small Molecules Group, an integrated capability network of National Research Infrastructure across Australia. These facilities are committed to providing high quality research infrastructure to support leading‑edge research and to boost innovation in Australia. SUPPORTED BY: CONTACT US: T: (07) 3735 4433 E: [email protected] Level 14, 330 Collins Street, Melbourne VIC 3000 www.therapeuticinnovation.com.au Compounds Australia Capability/services offered: • National compound management and logistics facility for small molecule compound libraries and natural product extract and fraction libraries. • Cost effective compound management, supporting drug discovery through high throughput screening • Provides storage and management of the national open access compound collection, GRIDD’s NatureBank collection and numerous proprietary compound collections. -
Identification and Characterization of a Small Molecule Inhibitor of Formin
Chemistry & Biology Article Identification and Characterization of a Small Molecule Inhibitor of Formin-Mediated Actin Assembly Syed A. Rizvi,1,5 Erin M. Neidt,2,5 Jiayue Cui,1 Zach Feiger,3 Colleen T. Skau,2 Margaret L. Gardel,3 Sergey A. Kozmin,1 and David R. Kovar2,4,* 1Department of Chemistry 2Department of Molecular Genetics and Cell Biology 3Department of Physics 4Department of Biochemistry and Molecular Biology The University of Chicago, Chicago, IL 60637, USA 5These authors contributed equally to this work *Correspondence: [email protected] DOI 10.1016/j.chembiol.2009.10.006 SUMMARY nant tumor function and are highly overexpressed in different cancer cell types including colorectal, carcinoma, leukemia, Formins stimulate actin filament assembly for funda- melanoma, and lymphoid (Favaro et al., 2003; Kitzing et al., mental cellular processes including division, adhe- 2007; Sarmiento et al., 2008; Zhu et al., 2008). Determining for- sion, establishing polarity, and motility. A formin min’s numerous roles is particularly complicated because most inhibitor would be useful because most cells express organisms express multiple isoforms (Goode and Eck, 2007). multiple formins whose functions are not known and For example, there are at least 20 formin genes in plants, 18 in because metastatic tumor formation depends on the mammals, 6 each in Drosophila melanogaster and Caenorhabdi- tis elegans, 3 in fission yeast, and 2 in budding yeast (Higgs, deregulation of formin-dependent processes. We 2005). A major challenge is to elucidate all formin-dependent identified a general small molecule inhibitor of formin cellular functions in both healthy and diseased tissues. homology 2 domains (SMIFH2) by screening com- Formins are multidomain proteins that contain a highly pounds for the ability to prevent formin-mediated conserved actin assembly formin homology 2 FH2 domain and actin assembly in vitro. -
An Online Tool for Calculating and Mining Dose–Response Data Nicholas A
Clark et al. BMC Cancer (2017) 17:698 DOI 10.1186/s12885-017-3689-3 SOFTWARE Open Access GRcalculator: an online tool for calculating and mining dose–response data Nicholas A. Clark1†, Marc Hafner2†, Michal Kouril3, Elizabeth H. Williams2, Jeremy L. Muhlich2, Marcin Pilarczyk1, Mario Niepel2, Peter K. Sorger2 and Mario Medvedovic1* Abstract Background: Quantifying the response of cell lines to drugs or other perturbagens is the cornerstone of pre-clinical drug development and pharmacogenomics as well as a means to study factors that contribute to sensitivity and resistance. In dividing cells, traditional metrics derived from dose–response curves such as IC50, AUC, and Emax, are confounded by the number of cell divisions taking place during the assay, which varies widely for biological and experimental reasons. Hafner et al. (Nat Meth 13:521–627, 2016) recently proposed an alternative way to quantify drug response, normalized growth rate (GR) inhibition, that is robust to such confounders. Adoption of the GR method is expected to improve the reproducibility of dose–response assays and the reliability of pharmacogenomic associations (Hafner et al. 500–502, 2017). Results: We describe here an interactive website (www.grcalculator.org) for calculation, analysis, and visualization of dose–response data using the GR approach and for comparison of GR and traditional metrics. Data can be user-supplied or derived from published datasets. The web tools are implemented in the form of three integrated Shiny applications (grcalculator, grbrowser, and grtutorial) deployed through a Shiny server. Intuitive graphical user interfaces (GUIs) allow for interactive analysis and visualization of data. The Shiny applications make use of two R packages (shinyLi and GRmetrics) specifically developed for this purpose. -
Lack of Correlation Between in Vitro and in Vivo Studies on the Inhibitory Effects Of
pharmaceutics Article Lack of Correlation between In Vitro and In Vivo Studies on the Inhibitory Effects of (-)-Sophoranone on CYP2C9 Is Attributable to Low Oral Absorption and Extensive Plasma Protein Binding of (-)-Sophoranone 1, 2,3, 3 3 3 Yu Fen Zheng y, Soo Hyeon Bae y , Zhouchi Huang , Soon Uk Chae , Seong Jun Jo , Hyung Joon Shim 3, Chae Bin Lee 3, Doyun Kim 3,4, Hunseung Yoo 4 and Soo Kyung Bae 3,* 1 School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, 639 Longmian Road, Jiangning District, Nanjing 211198, China; [email protected] 2 Q-fitter, Inc., Seoul 06578, Korea; sh.bae@qfitter.com 3 College of Pharmacy and Integrated Research Institute of Pharmaceutical Sciences, The Catholic University, Korea, Bucheon 14662, Korea; [email protected] (Z.H.); [email protected] (S.U.C.); [email protected] (S.J.J.); [email protected] (H.J.S.); [email protected] (C.B.L.); [email protected] (D.K.) 4 Life Science R&D Center, SK Chemicals, 310 Pangyo-ro, Sungnam 13494, Korea; [email protected] * Correspondence: [email protected]; Tel.: +82-2-2164-4054 These authors contributed equally to this work. y Received: 8 March 2020; Accepted: 5 April 2020; Published: 7 April 2020 Abstract: (-)-Sophoranone (SPN) is a bioactive component of Sophora tonkinensis with various pharmacological activities. This study aims to evaluate its in vitro and in vivo inhibitory potential against the nine major CYP enzymes. Of the nine tested CYPs, it exerted the strongest inhibitory effect on CYP2C9-mediated tolbutamide 4-hydroxylation with the lowest IC50 (Ki) value of 0.966 0.149 µM (0.503 0.0383 µM), in a competitive manner.