Tyrosine Kinases
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Recombination and the Evolution of Mutational Robustness
ARTICLE IN PRESS Journal of Theoretical Biology 241 (2006) 707–715 www.elsevier.com/locate/yjtbi Recombination and the evolution of mutational robustness Andy Gardnera,b,c,Ã, Alex T. Kalinkaa aInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3JT, UK bDepartment of Mathematics & Statistics, Queen’s University, Kingston, Ont., Canada K7L 3N6 cDepartment of Biology, Queen’s University, Kingston, Ont., Canada K7L 3N6 Received 25 July 2005; received in revised form 8 December 2005; accepted 5 January 2006 Available online 20 February 2006 Abstract Mutational robustness is the degree to which a phenotype, such as fitness, is resistant to mutational perturbations. Since most of these perturbations will tend to reduce fitness, robustness provides an immediate benefit for the mutated individual. However, robust systems decay due to the accumulation of deleterious mutations that would otherwise have been cleared by selection. This decay has received very little theoretical attention. At equilibrium, a population or asexual lineage is expected to have a mutation load that is invariant with respect to the selection coefficient of deleterious alleles, so the benefit of robustness (at the level of the population or asexual lineage) is temporary. However, previous work has shown that robustness can be favoured when robustness loci segregate independently of the mutating loci they act upon. We examine a simple two-locus model that allows for intermediate rates of recombination and inbreeding to show that increasing the effective recombination rate allows for the evolution of greater mutational robustness. r 2006 Elsevier Ltd. All rights reserved. Keywords: Canalization; Epistasis; Linkage disequilibrium; Multilocus methodology; Mutation–selection balance 1. -
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]. -
Antigen-Receptor Degeneracy and Immunological Paradigms Irun R
Molecular Immunology 40 (2004) 993–996 Antigen-receptor degeneracy and immunological paradigms Irun R. Cohen a,∗, Uri Hershberg b, Sorin Solomon c a The Department of Immunology, The Weizmann Institute of Science, Rehovot, 76100 Israel b Interdisciplinary Center for Neuronal Computation, The Hebrew University of Jerusalem, Jerusalem, Israel c The Racah Institute of Physics, The Hebrew University of Jerusalem, Jerusalem, Israel Abstract This paper discusses some consequences of the discovery that antigen receptors are degenerate: Immune specificity, in contrast to the tenets of the clonal selection paradigm, must be generated by the immune response down-stream of initial antigen recognition; and specificity is a property of a collective of cells and not of single clones. © 2003 Elsevier Ltd. All rights reserved. Keywords: T cells; T-cell receptor; Inflammation; Specificity; Degeneracy; Clonal selection; Cognitive paradigm 1. Degeneracy problems characterized by extreme poly-clonality; in fact, most nat- ural T-cell responses are oligo-clonal (Douek et al., 2003). Degeneracy, in the present discourse, refers to the capac- So, there must be a mechanism or mechanisms that operate ity of any single antigen receptor to bind and respond to to restrict poly-clonality in wild-type adaptive immune sys- (recognize) many different ligands. The Oxford English Dic- tems. The inherent potential for extreme poly-clonality, in tionary (Second Edition, 1989) defines the primary meaning practice, may be tempered by clonal competition. Compe- of degeneracy as: tition among clones for access, energy or space will most likely reward the fast and the avid. Since the best clones Having lost the qualities proper to the race or kind; having should win, clonal competition does not threaten the logic declined from a higher to a lower type; hence, declined of the clonal selection theory (CST) of adaptive immunity. -
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. -
Multiple Receptor Tyrosine Kinases Are Expressed in Adult Rat Retinal Ganglion Cells As Revealed by Single-Cell Degenerate Primer Polymerase Chain Reaction
Upsala Journal of Medical Sciences. 2010; 115: 65–80 ORIGINAL ARTICLE Multiple receptor tyrosine kinases are expressed in adult rat retinal ganglion cells as revealed by single-cell degenerate primer polymerase chain reaction NICLAS LINDQVIST1, ULRIKA LÖNNGREN1, MARTA AGUDO2,3, ULLA NÄPÄNKANGAS1, MANUEL VIDAL-SANZ2 & FINN HALLBÖÖK1 1Department of Neuroscience, Unit for Developmental Neuroscience, Biomedical Center, Uppsala University, 75123 Uppsala, Sweden, 2Departamento de Oftalmología, Facultad de Medicina, Universidad de Murcia, Murcia, Spain, and 3Fundación para la Formación e Investigación Sanitaria de la Región de Murcia, Hospital Universitario Virgen de la Arrixaca, Murcia, Spain Abstract Background. To achieve a better understanding of the repertoire of receptor tyrosine kinases (RTKs) in adult retinal ganglion cells (RGCs) we performed polymerase chain reaction (PCR), using degenerate primers directed towards conserved sequences in the tyrosine kinase domain, on cDNA from isolated single RGCs univocally identified by retrograde tracing from the superior colliculi. Results. All the PCR-amplified fragments of the expected sizes were sequenced, and 25% of them contained a tyrosine kinase domain. These were: Axl, Csf-1R, Eph A4, Pdgfrb, Ptk7, Ret, Ros, Sky, TrkB, TrkC, Vegfr-2, and Vegfr-3. Non-RTK sequences were Jak1 and 2. Retinal expression of Axl, Csf-1R, Pdgfrb, Ret, Sky, TrkB, TrkC, Vegfr-2, and Vegfr-3, as well as Jak1 and 2, was confirmed by PCR on total retina cDNA. Immunodetection of Csf-1R, Pdgfra/b, Ret, Sky, TrkB, and Vegfr-2 on retrogradely traced retinas demonstrated that they were expressed by RGCs. Co-localization of Vegfr-2 and Csf-1R, of Vegfr-2 and TrkB, and of Csf-1R and Ret in retrogradely labelled RGCs was shown. -
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. -
Degeneracy in Hippocampal Physiology and Plasticity
bioRxiv preprint doi: https://doi.org/10.1101/203943; this version posted July 30, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Degeneracy in hippocampal physiology and plasticity * Rahul Kumar Rathour and Rishikesh Narayanan Cellular Neurophysiology Laboratory, Molecular Biophysics Unit, Indian Institute of Science, Bangalore, India. * Corresponding Author Rishikesh Narayanan, Ph.D. Molecular Biophysics Unit Indian Institute of Science Bangalore 560 012, India. e-mail: [email protected] Phone: +91-80-22933372 Fax: +91-80-23600535 Abbreviated title: Degeneracy in the hippocampus Keywords: hippocampus; degeneracy; learning; memory; encoding; homeostasis; plasticity; physiology; causality; reductionism; holism; structure-function relationships; variability; compensation; intrinsic excitability 1 bioRxiv preprint doi: https://doi.org/10.1101/203943; this version posted July 30, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. ABSTRACT Degeneracy, defined as the ability of structurally disparate elements to perform analogous function, has largely been assessed from the perspective of maintaining robustness of physiology or plasticity. How does the framework of degeneracy assimilate into an encoding system where the ability to change is an essential ingredient for storing new incoming information? Could degeneracy maintain the balance between the apparently contradictory goals of the need to change for encoding and the need to resist change towards maintaining homeostasis? In this review, we explore these fundamental questions with the mammalian hippocampus as an example encoding system. We systematically catalog lines of evidence, spanning multiple scales of analysis, that demonstrate the expression of degeneracy in hippocampal physiology and plasticity. -
An Interdisciplinary Perspective on Artificial Immune Systems
Evol. Intel. (2008) 1:5–26 DOI 10.1007/s12065-007-0004-2 REVIEW ARTICLE An interdisciplinary perspective on artificial immune systems J. Timmis Æ P. Andrews Æ N. Owens Æ E. Clark Received: 7 September 2007 / Accepted: 11 October 2007 / Published online: 10 January 2008 Ó Springer-Verlag 2008 Abstract This review paper attempts to position the area 1 Introduction of Artificial Immune Systems (AIS) in a broader context of interdisciplinary research. We review AIS based on an Artificial Immune Systems (AIS) is a diverse area of established conceptual framework that encapsulates math- research that attempts to bridge the divide between ematical and computational modelling of immunology, immunology and engineering and are developed through abstraction and then development of engineered systems. the application of techniques such as mathematical and We argue that AIS are much more than engineered systems computational modelling of immunology, abstraction from inspired by the immune system and that there is a great those models into algorithm (and system) design and deal for both immunology and engineering to learn from implementation in the context of engineering. Over recent each other through working in an interdisciplinary manner. years there have been a number of review papers written on AIS with the first being [25] followed by a series of others Keywords Artificial immune systems Á that either review AIS in general, for example, [29, 30, 43, Immunological modelling Á Mathematical modelling Á 68, 103], or more specific aspects of AIS such as data Computational modelling Á mining [107], network security [71], applications of AIS Applications of artificial immune systems Á [58], theoretical aspects [103] and modelling in AIS [39]. -
Degeneracy and Genetic Assimilation in RNA Evolution Reza Rezazadegan1* and Christian Reidys1,2
Rezazadegan and Reidys BMC Bioinformatics (2018) 19:543 https://doi.org/10.1186/s12859-018-2497-3 RESEARCH ARTICLE Open Access Degeneracy and genetic assimilation in RNA evolution Reza Rezazadegan1* and Christian Reidys1,2 Abstract Background: The neutral theory of Motoo Kimura stipulates that evolution is mostly driven by neutral mutations. However adaptive pressure eventually leads to changes in phenotype that involve non-neutral mutations. The relation between neutrality and adaptation has been studied in the context of RNA before and here we further study transitional mutations in the context of degenerate (plastic) RNA sequences and genetic assimilation. We propose quasineutral mutations, i.e. mutations which preserve an element of the phenotype set, as minimal mutations and study their properties. We also propose a general probabilistic interpretation of genetic assimilation and specialize it to the Boltzmann ensemble of RNA sequences. Results: We show that degenerate sequences i.e. sequences with more than one structure at the MFE level have the highest evolvability among all sequences and are central to evolutionary innovation. Degenerate sequences also tend to cluster together in the sequence space. The selective pressure in an evolutionary simulation causes the population to move towards regions with more degenerate sequences, i.e. regions at the intersection of different neutral networks, and this causes the number of such sequences to increase well beyond the average percentage of degenerate sequences in the sequence space. We also observe that evolution by quasineutral mutations tends to conserve the number of base pairs in structures and thereby maintains structural integrity even in the presence of pressure to the contrary. -
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. -
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.