The Structural Basis of Allosteric Regulation in Proteins
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Allosteric Regulation in Drug Design
Mini Review Curr Trends Biomedical Eng & Biosci Volume 4 Issue 1 - May 2017 Copyright © All rights are reserved by Ashfaq Ur Rehman DOI: 10.19080/CTBEB.2017.04.5555630 Allosteric regulation in drug design Ashfaq Ur Rehman1,2*, Shah Saud3, Nasir Ahmad4, Abdul Wadood2 and R Hamid5 1State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, China 2Department of Biochemistry, Abdul Wali Khan University Mardan, Pakistan 3Laboratory of Analytical Biochemistry and Bio separation, Shanghai Jiao Tong University, China 4Department of Chemistry, Islama College University Peshawar, Pakistan 5Department of Bioinformatics, Muhammad Ali Jinnah University Islamabad, Pakistan Submission: May 02, 2017; Published: May 23, 2017 *Corresponding author: Ashfaq Ur Rehman, State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China, Tel: ; Fax: 86-21-34204348; Email: Abstract mechanism, which are initiated through attachment of ligand or inhibitors with the protein or enzymes other than active (orthosteric) sites. ThisProtein mini review and enzymes involved play mechanism, significant types roles and in importancebiological processes of allosteric of all regulations living organisms; in drug theirdesign functions process. are regulated through allosteric Keywords: Allosteric, Activator: Drug design Introduction and ultimately cause disease. While various biological processes expressed the control at different points in life time of protein function is pivotal. As all the cell processes are under carful For the survival of all organisms the significance of protein included regulation of gene expression, translation into protein control and if not properly controls this leads to the abnormality through control of activity and at last degradation of protein [1]. -
Tyrosine Kinase – Role and Significance in Cancer
Int. J. Med. Sci. 2004 1(2): 101-115 101 International Journal of Medical Sciences ISSN 1449-1907 www.medsci.org 2004 1(2):101-115 ©2004 Ivyspring International Publisher. All rights reserved Review Tyrosine kinase – Role and significance in Cancer Received: 2004.3.30 Accepted: 2004.5.15 Manash K. Paul and Anup K. Mukhopadhyay Published:2004.6.01 Department of Biotechnology, National Institute of Pharmaceutical Education and Research, Sector-67, S.A.S Nagar, Mohali, Punjab, India-160062 Abstract Tyrosine kinases are important mediators of the signaling cascade, determining key roles in diverse biological processes like growth, differentiation, metabolism and apoptosis in response to external and internal stimuli. Recent advances have implicated the role of tyrosine kinases in the pathophysiology of cancer. Though their activity is tightly regulated in normal cells, they may acquire transforming functions due to mutation(s), overexpression and autocrine paracrine stimulation, leading to malignancy. Constitutive oncogenic activation in cancer cells can be blocked by selective tyrosine kinase inhibitors and thus considered as a promising approach for innovative genome based therapeutics. The modes of oncogenic activation and the different approaches for tyrosine kinase inhibition, like small molecule inhibitors, monoclonal antibodies, heat shock proteins, immunoconjugates, antisense and peptide drugs are reviewed in light of the important molecules. As angiogenesis is a major event in cancer growth and proliferation, tyrosine kinase inhibitors as a target for anti-angiogenesis can be aptly applied as a new mode of cancer therapy. The review concludes with a discussion on the application of modern techniques and knowledge of the kinome as means to gear up the tyrosine kinase drug discovery process. -
DNA Breakpoint Assay Reveals a Majority of Gross Duplications Occur in Tandem Reducing VUS Classifications in Breast Cancer Predisposition Genes
© American College of Medical Genetics and Genomics ARTICLE Corrected: Correction DNA breakpoint assay reveals a majority of gross duplications occur in tandem reducing VUS classifications in breast cancer predisposition genes Marcy E. Richardson, PhD1, Hansook Chong, PhD1, Wenbo Mu, MS1, Blair R. Conner, MS1, Vickie Hsuan, MS1, Sara Willett, MS1, Stephanie Lam, MS1, Pei Tsai, CGMBS, MB (ASCP)1, Tina Pesaran, MS, CGC1, Adam C. Chamberlin, PhD1, Min-Sun Park, PhD1, Phillip Gray, PhD1, Rachid Karam, MD, PhD1 and Aaron Elliott, PhD1 Purpose: Gross duplications are ambiguous in terms of clinical cohort, while the remainder have unknown tandem status. Among interpretation due to the limitations of the detection methods that the tandem gross duplications that were eligible for reclassification, cannot infer their context, namely, whether they occur in tandem or 95% of them were upgraded to pathogenic. are duplicated and inserted elsewhere in the genome. We Conclusion: DBA is a novel, high-throughput, NGS-based method investigated the proportion of gross duplications occurring in that informs the tandem status, and thereby the classification of, tandem in breast cancer predisposition genes with the intent of gross duplications. This method revealed that most gross duplica- informing their classifications. tions in the investigated genes occurred in tandem and resulted in a Methods: The DNA breakpoint assay (DBA) is a custom, paired- pathogenic classification, which helps to secure the necessary end, next-generation sequencing (NGS) method designed to treatment options for their carriers. capture and detect deep-intronic DNA breakpoints in gross duplications in BRCA1, BRCA2, ATM, CDH1, PALB2, and CHEK2. Genetics in Medicine (2019) 21:683–693; https://doi.org/10.1038/s41436- Results: DBA allowed us to ascertain breakpoints for 44 unique 018-0092-7 gross duplications from 147 probands. -
Adaptive Responses by Transcriptional Regulators to Small Molecules in Prokaryotes
Adaptive Responses by Transcriptional Regulators to small molecules in Prokaryotes Structural studies of two bacterial one-component signal transduction systems DntR and HpNikR Cyril Dian Stockholm University Doctoral thesis © Cyril Dian, Stockholm 2007 ISBN 978-91-7155-500-7 Department of Biochemistry and Biophysics The Arrhenius Laboratories for Natural Sciences Stockholm University SE-106 91 Stockholm Sweden All previously published papers are reprinted With permission from the publishers Intellecta Docusys, Stockholm 2007 Abstract Prokaryotes are continually exposed to environmental changes in their physiological conditions. In order to survive such unstable conditions, or to compete with others species for the same environmental niche, prokaryotes must monitor signals about both their extracellular environment and intracellular physiological status and provide rapid and appropriate responses to variations in their surroundings. This adaptive response to environmental signals is triggered mainly by transcriptional regulators via two components, the one- and two-component signal transduction systems. These scan intra- and extracellular small-molecule mixtures and modulate gene expression to provide the appropriate physiological response to the prevailing conditions. Most prokaryotic one component regulators are simple transcription factors comprising of a small-molecule binding domain (SMBD) and a DNA binding domain (DBD). Although the effects of transcription factors on the transcription machinery are well understood, the exact location -
Regulation of Stringent Factor by Branched-Chain Amino Acids
Regulation of stringent factor by branched-chain amino acids Mingxu Fanga and Carl E. Bauera,1 aMolecular and Cellular Biochemistry Department, Indiana University, Bloomington, IN 47405 Edited by Caroline S. Harwood, University of Washington, Seattle, WA, and approved May 9, 2018 (received for review February 21, 2018) When faced with amino acid starvation, prokaryotic cells induce a Under normal growth conditions, the synthetase activity of Rel is stringent response that modulates their physiology. The stringent thought to be self-inhibited; however, during times of amino acid response is manifested by production of signaling molecules starvation, Rel interacts with stalled ribosomes, which activates guanosine 5′-diphosphate,3′-diphosphate (ppGpp) and guanosine synthetase activity to produce (p)ppGpp. The regulation of hy- 5′-triphosphate,3′-diphosphate (pppGpp) that are also called drolase activity is less understood but may involve one or more alarmones. In many species, alarmone levels are regulated by a downstream domains called the TGS and ACT domains. The TGS multidomain bifunctional alarmone synthetase/hydrolase called domain of SpoT has been shown to interact with an acyl carrier Rel. In this enzyme, there is an ACT domain at the carboxyl region protein, so it is presumed to sense the status of fatty acid metab- that has an unknown function; however, similar ACT domains are olism in E. coli (4). The function of the ACT domain is not as clear; present in other enzymes that have roles in controlling amino acid however, recent cryo-EM structures of E. coli RelA show that this metabolism. In many cases, these other ACT domains have been domain is involved in binding deacyl-tRNA as well as the ribosome shown to allosterically regulate enzyme activity through the bind- (5–7). -
Integrated Computational Approaches and Tools for Allosteric Drug Discovery
International Journal of Molecular Sciences Review Integrated Computational Approaches and Tools for Allosteric Drug Discovery Olivier Sheik Amamuddy 1 , Wayde Veldman 1 , Colleen Manyumwa 1 , Afrah Khairallah 1 , Steve Agajanian 2, Odeyemi Oluyemi 2, Gennady M. Verkhivker 2,3,* and Özlem Tastan Bishop 1,* 1 Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Grahamstown 6140, South Africa; [email protected] (O.S.A.); [email protected] (W.V.); [email protected] (C.M.); [email protected] (A.K.) 2 Graduate Program in Computational and Data Sciences, Keck Center for Science and Engineering, Schmid College of Science and Technology, Chapman University, One University Drive, Orange, CA 92866, USA; [email protected] (S.A.); [email protected] (O.O.) 3 Department of Biomedical and Pharmaceutical Sciences, Chapman University School of Pharmacy, Irvine, CA 92618, USA * Correspondence: [email protected] (G.M.V.); [email protected] (Ö.T.B.); Tel.: +714-516-4586 (G.M.V.); +27-46-603-8072 (Ö.T.B.) Received: 25 December 2019; Accepted: 21 January 2020; Published: 28 January 2020 Abstract: Understanding molecular mechanisms underlying the complexity of allosteric regulation in proteins has attracted considerable attention in drug discovery due to the benefits and versatility of allosteric modulators in providing desirable selectivity against protein targets while minimizing toxicity and other side effects. The proliferation of novel computational approaches for predicting ligand–protein interactions and binding using dynamic and network-centric perspectives has led to new insights into allosteric mechanisms and facilitated computer-based discovery of allosteric drugs. Although no absolute method of experimental and in silico allosteric drug/site discovery exists, current methods are still being improved. -
Protein Interactions with the Glucose Transporter Binding Protein GLUT1CBP That Provide a Link Between GLUT1 and the Cytoskeleton Robert C
Molecular Biology of the Cell Vol. 10, 819–832, April 1999 Protein Interactions with the Glucose Transporter Binding Protein GLUT1CBP That Provide a Link between GLUT1 and the Cytoskeleton Robert C. Bunn, Mari Anne Jensen, and Brent C. Reed* The Department of Biochemistry and Molecular Biology, Louisiana State University School of Medicine, Shreveport, Louisiana 71130-3932 Submitted October 27, 1998; Accepted January 19, 1999 Monitoring Editor: Guido Guidotti Subcellular targeting and the activity of facilitative glucose transporters are likely to be regulated by interactions with cellular proteins. This report describes the identification and characterization of a protein, GLUT1 C-terminal binding protein (GLUT1CBP), that binds via a PDZ domain to the C terminus of GLUT1. The interaction requires the C-terminal four amino acids of GLUT1 and is isoform specific because GLUT1CBP does not interact with the C terminus of GLUT3 or GLUT4. Most rat tissues examined contain both GLUT1CBP and GLUT1 mRNA, whereas only small intestine lacked detectable GLUT1CBP protein. GLUT1CBP is also expressed in primary cultures of neurons and astrocytes, as well as in Chinese hamster ovary, 3T3-L1, Madin–Darby canine kidney, Caco-2, and pheochromocytoma-12 cell lines. GLUT1CBP is able to bind to native GLUT1 extracted from cell membranes, self-associate, or interact with the cytoskeletal proteins myosin VI, a-actinin-1, and the kinesin superfamily protein KIF-1B. The presence of a PDZ domain places GLUT1CBP among a growing family of structural and regulatory proteins, many of which are localized to areas of membrane specialization. This and its ability to interact with GLUT1 and cytoskeletal proteins implicate GLUT1CBP in cellular mechanisms for targeting GLUT1 to specific subcellular sites either by tethering the transporter to cytoskeletal motor proteins or by anchoring the transporter to the actin cytoskeleton. -
Tyrosine Kinases
KEVANM SHOKAT MINIREVIEW Tyrosine kinases: modular signaling enzymes with tunable specificities Cytoplasmic tyrosine kinases are composed of modular domains; one (SHl) has catalytic activity, the other two (SH2 and SH3) do not. Kinase specificity is largely determined by the binding preferences of the SH2 domain. Attaching the SHl domain to a new SH2 domain, via protein-protein association or mutation, can thus dramatically change kinase function. Chemistry & Biology August 1995, 2:509-514 Protein kinases are one of the largest protein families identified, This is a result of the overlapping substrate identified to date; over 45 new members are identified specificities of many tyrosine kinases, which makes it each year. It is estimated that up to 4 % of vertebrate pro- difficult to dissect the individual signaling pathways by teins are protein kinases [l].The protein kinases are cate- scanning for unique target motifs [2]. gorized by their specificity for serineithreonine, tyrosine, or histidine residues. Protein tyrosine kinases account for The apparent promiscuity of individual tyrosine kinases roughly half of all kinases. They occur as membrane- is a result of their unique structural organization. bound receptors or cytoplasmic proteins and are involved Enzyme specificity is typically programmed by one in a wide variety of cellular functions, including cytokine binding site, which recognizes the substrate and also con- responses, antigen-dependent immune responses, cellular tains exquisitely oriented active-site functional groups transformation by RNA viruses, oncogenesis, regulation that help to lower the energy of the transition state for of the cell cycle, and modification of cell morphology the conversion of specific substrates to products.Tyrosine (Fig. -
Structure and Evolution of Protein Allosteric Sites
Structure and evolution of protein allosteric sites by Alejandro Panjkovich Thesis submitted to Universitat Aut`onoma de Barcelona in partial fulfillment of the requirements for the degree of Doctor of Philosophy Director - Prof. Xavier Daura Tesi Doctoral UAB/ANY 2013 Ph.D. Program - Protein Structure and Function Institut de Biotecnologia i Biomedicina caminante, no hay camino, se hace camino al andar Antonio Machado,1912 Acknowledgements First of all I would like to thank my supervisor and mentor Prof. Xavier Daura for his consistent support and trust in my work throughout these years. Xavi, I deeply appreciate the freedom you gave me to develop this project while you were still carefully aware of the small details. Working under your supervision has been a rich and fulfilling experience. Of course, thanks go as well to current and past members of our institute, especially Rita Rocha, Pau Marc Mu˜noz,Oscar Conchillo, Dr. Mart´ınIndarte, Dr. Mario Ferrer, Prof. Isidre Gibert, Dr. Roman Affentranger and Dr. Juan Cedano for their technical and sometimes philo- sophical assistance. Help from the administrative staff was also significant, I would like to thank in particular Eva, Alicia and Miguel who where always ready to help me in sorting out unexpected bureaucratic affairs. I would also like to thank Dr. Mallur Srivatasan Madhusudhan and his group (especially Kuan Pern Tan, Dr. Minh Nguyen and Binh Nguyen), and also Dr. Gloria Fuentes, Cassio Fernandes, Youssef Zaki, Thijs Kooi, Rama Iyer, Christine Low and many others at the Bioinformatics Institute BII - A∗STAR in Singapore for the many interesting discussions and support during my stage over there. -
Regulation of Stringent Factor by Branched-Chain Amino Acids
Regulation of stringent factor by branched-chain amino acids Mingxu Fanga and Carl E. Bauera,1 aMolecular and Cellular Biochemistry Department, Indiana University, Bloomington, IN 47405 Edited by Caroline S. Harwood, University of Washington, Seattle, WA, and approved May 9, 2018 (received for review February 21, 2018) When faced with amino acid starvation, prokaryotic cells induce a Under normal growth conditions, the synthetase activity of Rel is stringent response that modulates their physiology. The stringent thought to be self-inhibited; however, during times of amino acid response is manifested by production of signaling molecules starvation, Rel interacts with stalled ribosomes, which activates guanosine 5′-diphosphate,3′-diphosphate (ppGpp) and guanosine synthetase activity to produce (p)ppGpp. The regulation of hy- 5′-triphosphate,3′-diphosphate (pppGpp) that are also called drolase activity is less understood but may involve one or more alarmones. In many species, alarmone levels are regulated by a downstream domains called the TGS and ACT domains. The TGS multidomain bifunctional alarmone synthetase/hydrolase called domain of SpoT has been shown to interact with an acyl carrier Rel. In this enzyme, there is an ACT domain at the carboxyl region protein, so it is presumed to sense the status of fatty acid metab- that has an unknown function; however, similar ACT domains are olism in E. coli (4). The function of the ACT domain is not as clear; present in other enzymes that have roles in controlling amino acid however, recent cryo-EM structures of E. coli RelA show that this metabolism. In many cases, these other ACT domains have been domain is involved in binding deacyl-tRNA as well as the ribosome shown to allosterically regulate enzyme activity through the bind- (5–7). -
Understanding Drug-Drug Interactions Due to Mechanism-Based Inhibition in Clinical Practice
pharmaceutics Review Mechanisms of CYP450 Inhibition: Understanding Drug-Drug Interactions Due to Mechanism-Based Inhibition in Clinical Practice Malavika Deodhar 1, Sweilem B Al Rihani 1 , Meghan J. Arwood 1, Lucy Darakjian 1, Pamela Dow 1 , Jacques Turgeon 1,2 and Veronique Michaud 1,2,* 1 Tabula Rasa HealthCare Precision Pharmacotherapy Research and Development Institute, Orlando, FL 32827, USA; [email protected] (M.D.); [email protected] (S.B.A.R.); [email protected] (M.J.A.); [email protected] (L.D.); [email protected] (P.D.); [email protected] (J.T.) 2 Faculty of Pharmacy, Université de Montréal, Montreal, QC H3C 3J7, Canada * Correspondence: [email protected]; Tel.: +1-856-938-8697 Received: 5 August 2020; Accepted: 31 August 2020; Published: 4 September 2020 Abstract: In an ageing society, polypharmacy has become a major public health and economic issue. Overuse of medications, especially in patients with chronic diseases, carries major health risks. One common consequence of polypharmacy is the increased emergence of adverse drug events, mainly from drug–drug interactions. The majority of currently available drugs are metabolized by CYP450 enzymes. Interactions due to shared CYP450-mediated metabolic pathways for two or more drugs are frequent, especially through reversible or irreversible CYP450 inhibition. The magnitude of these interactions depends on several factors, including varying affinity and concentration of substrates, time delay between the administration of the drugs, and mechanisms of CYP450 inhibition. Various types of CYP450 inhibition (competitive, non-competitive, mechanism-based) have been observed clinically, and interactions of these types require a distinct clinical management strategy. This review focuses on mechanism-based inhibition, which occurs when a substrate forms a reactive intermediate, creating a stable enzyme–intermediate complex that irreversibly reduces enzyme activity. -
Spring 2013 Lecture 13-14
CHM333 LECTURE 13 – 14: 2/13 – 15/13 SPRING 2013 Professor Christine Hrycyna INTRODUCTION TO ENZYMES • Enzymes are usually proteins (some RNA) • In general, names end with suffix “ase” • Enzymes are catalysts – increase the rate of a reaction – not consumed by the reaction – act repeatedly to increase the rate of reactions – Enzymes are often very “specific” – promote only 1 particular reaction – Reactants also called “substrates” of enzyme catalyst rate enhancement non-enzymatic (Pd) 102-104 fold enzymatic up to 1020 fold • How much is 1020 fold? catalyst time for reaction yes 1 second no 3 x 1012 years • 3 x 1012 years is 500 times the age of the earth! Carbonic Anhydrase Tissues ! + CO2 +H2O HCO3− +H "Lungs and Kidney 107 rate enhancement Facilitates the transfer of carbon dioxide from tissues to blood and from blood to alveolar air Many enzyme names end in –ase 89 CHM333 LECTURE 13 – 14: 2/13 – 15/13 SPRING 2013 Professor Christine Hrycyna Why Enzymes? • Accelerate and control the rates of vitally important biochemical reactions • Greater reaction specificity • Milder reaction conditions • Capacity for regulation • Enzymes are the agents of metabolic function. • Metabolites have many potential pathways • Enzymes make the desired one most favorable • Enzymes are necessary for life to exist – otherwise reactions would occur too slowly for a metabolizing organis • Enzymes DO NOT change the equilibrium constant of a reaction (accelerates the rates of the forward and reverse reactions equally) • Enzymes DO NOT alter the standard free energy change, (ΔG°) of a reaction 1. ΔG° = amount of energy consumed or liberated in the reaction 2.