Early Folding Biases in the Folding Free-Energy Surface of Βα- Repeat Proteins: a Dissertation
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The Thioredoxin Trx-1 Regulates the Major Oxidative Stress Response Transcription Factor, Skn-1, in Caenorhabditis Elegans
The Texas Medical Center Library DigitalCommons@TMC The University of Texas MD Anderson Cancer Center UTHealth Graduate School of The University of Texas MD Anderson Cancer Biomedical Sciences Dissertations and Theses Center UTHealth Graduate School of (Open Access) Biomedical Sciences 5-2016 THE THIOREDOXIN TRX-1 REGULATES THE MAJOR OXIDATIVE STRESS RESPONSE TRANSCRIPTION FACTOR, SKN-1, IN CAENORHABDITIS ELEGANS Katie C. McCallum Follow this and additional works at: https://digitalcommons.library.tmc.edu/utgsbs_dissertations Part of the Cellular and Molecular Physiology Commons, Medicine and Health Sciences Commons, Molecular Genetics Commons, and the Organismal Biological Physiology Commons Recommended Citation McCallum, Katie C., "THE THIOREDOXIN TRX-1 REGULATES THE MAJOR OXIDATIVE STRESS RESPONSE TRANSCRIPTION FACTOR, SKN-1, IN CAENORHABDITIS ELEGANS" (2016). The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access). 655. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/655 This Dissertation (PhD) is brought to you for free and open access by the The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at DigitalCommons@TMC. It has been accepted for inclusion in The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access) by an authorized administrator of DigitalCommons@TMC. For more information, please contact [email protected]. THE THIOREDOXIN TRX-1 REGULATES THE MAJOR OXIDATIVE STRESS RESPONSE TRANSCRIPTION FACTOR, SKN-1, IN CAENORHABDITIS ELEGANS A DISSERTATION Presented to the Faculty of The University of Texas Health Science Center at Houston and The University of Texas MD Anderson Cancer Center Graduate School of Biomedical Sciences in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY by Katie Carol McCallum, B.S. -
Bioinformatics Master Course Protein Data Bank Protein Primary Structure
C C E E N Bioinformatics master course N T T R R DNA/Protein structure-function E E F B F B analysis and prediction O I O I R O DNA/Protein structure-function R O I I I I N N N N T F analysis and prediction T F E O E O SCHEDULE G R G R R M R M A A A A T T T T http://www.few.vu.nl/onderwijs/roosters/rooster-vak-januari07.html I I Lecture 1: Protein Structure Basics (1) I I V C V C http://www.few.vu.nl/onderwijs/roosters/rooster-vak-voorjaar07.html E S E S V V U U Centre for Integrative Bioinformatics VU (IBIVU) Centre for Integrative Bioinformatics VU (IBIVU) Faculty of Exact Sciences / Faculty of Earth and Life Sciences Faculty of Exact Sciences / Faculty of Earth and Life Sciences The first protein structure in 1960: Protein Data Bank Myoglobin (Sir John Kendrew) Primary repository of protein teriary structures http://www.rcsb.org/pdb/home/home.do Dickerson’s formula: equivalent Protein primary structure to Moore’s law 20 amino acid types A generic residue Peptide bond n = e 0.19( y-1960) where y is the year. SARS Protein From Staphylococcus Aureus 1 MKYNNHDKIR DFIIIEAYMF RFKKKVKPEV 31 DMTIKEFILL TYLFHQQENT LPFKKIVSDL 61 CYKQSDLVQH IKVLVKHSYI SKVRSKIDER 91 NTYISISEEQ REKIAERVTL FDQIIKQFNL 121 ADQSESQMIP KDSKEFLNLM MYTMYFKNII On 27 March 2001 there were 12,123 3D protein 151 KKHLTLSFVE FTILAIITSQ NKNIVLLKDL 181 IETIHHKYPQ TVRALNNLKK QGYLIKERST structures in the PDB: Dickerson’s formula predicts 211 EDERKILIHM DDAQQDHAEQ LLAQVNQLLA 241 DKDHLHLVFE 12,066 (within 0.5%)! 1 Protein secondary structure Protein structure hierarchical levels PRIMARY -
The Unique Cysteine Knot Regulates the Pleotropic Hormone Leptin
The Unique Cysteine Knot Regulates the Pleotropic Hormone Leptin Ellinor Haglund1, Joanna I. Sułkowska1, Zhao He2, Gen-Sheng Feng2, Patricia A. Jennings1*, Jose´ N. Onuchic3* 1 Department of Chemistry and Biochemistry and Center for theoretical Biological Physics (CTBP), University of California San Diego, La Jolla, California, United States of America, 2 Department of Pathology; School of Medicine and Molecular Biology Section, Division of Biological Sciences, University of California San Diego, La Jolla, California, United States of America, 3 Center for Theoretical Biological physics and Department of Physics and Astronomy, Chemistry, and Biochemistry and Cell Biology, Rice University, Houston, Texas, United States of America Abstract Leptin plays a key role in regulating energy intake/expenditure, metabolism and hypertension. It folds into a four-helix bundle that binds to the extracellular receptor to initiate signaling. Our work on leptin revealed a hidden complexity in the formation of a previously un-described, cysteine-knotted topology in leptin. We hypothesized that this unique topology could offer new mechanisms in regulating the protein activity. A combination of in silico simulation and in vitro experiments was used to probe the role of the knotted topology introduced by the disulphide-bridge on leptin folding and function. Our results surprisingly show that the free energy landscape is conserved between knotted and unknotted protein, however the additional complexity added by the knot formation is structurally important. Native state analyses led to the discovery that the disulphide-bond plays an important role in receptor binding and thus mediate biological activity by local motions on distal receptor-binding sites, far removed from the disulphide-bridge. -
Structure of the Thioredoxin-Fold Domain of Human Phosducin-Like
protein structure communications Acta Crystallographica Section F Structural Biology Structure of the thioredoxin-fold domain of human and Crystallization phosducin-like protein 2 Communications ISSN 1744-3091 Xiaochu Lou,a Rui Bao,a Human phosducin-like protein 2 (hPDCL2) has been identified as belonging to Cong-Zhao Zhoub and subgroup II of the phosducin (Pdc) family. The members of this family share an Yuxing Chena,b* N-terminal helix domain and a C-terminal thioredoxin-fold (Trx-fold) domain. The X-ray crystal structure of the Trx-fold domain of hPDCL2 was solved at ˚ aInstitute of Protein Research, Tongji University, 2.70 A resolution and resembled the Trx-fold domain of rat phosducin. Shanghai 200092, People’s Republic of China, Comparative structural analysis revealed the structural basis of their putative and bHefei National Laboratory for Physical functional divergence. Sciences at Microscale and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, People’s Republic of China Correspondence e-mail: [email protected] 1. Introduction The thioredoxin-fold (Trx-fold) protein-structure classification (SCOP; Received 21 October 2008 http://scop.mrc-lmb.cam.ac.uk; Murzin et al., 1995) was characterized Accepted 11 November 2008 based on the structure of Escherichia coli Trx1 (Holmgren et al., 1975). The classic Trx fold consists of a single domain with a central PDB Reference: thioredoxin-fold domain of five-stranded mixed -sheet flanked by two -helices on each side. human phosducin-like protein 2, 3evi, r3evisf. The secondary-structure elements are arranged in the order - , with 4 antiparallel to the other strands. -
Chemical Synthesis and NMR Solution Structure of Conotoxin GXIA from Conus Geographus
marine drugs Article Chemical Synthesis and NMR Solution Structure of Conotoxin GXIA from Conus geographus David A. Armstrong 1, Ai-Hua Jin 2, Nayara Braga Emidio 2 , Richard J. Lewis 2 , Paul F. Alewood 2 and K. Johan Rosengren 1,* 1 School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4072, Australia; [email protected] 2 Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia; [email protected] (A.-H.J.); [email protected] (N.B.E.); [email protected] (R.J.L.); [email protected] (P.F.A.) * Correspondence: [email protected] Abstract: Conotoxins are disulfide-rich peptides found in the venom of cone snails. Due to their exquisite potency and high selectivity for a wide range of voltage and ligand gated ion channels they are attractive drug leads in neuropharmacology. Recently, cone snails were found to have the capability to rapidly switch between venom types with different proteome profiles in response to predatory or defensive stimuli. A novel conotoxin, GXIA (original name G117), belonging to the I3-subfamily was identified as the major component of the predatory venom of piscivorous Conus geographus. Using 2D solution NMR spectroscopy techniques, we resolved the 3D structure for GXIA, the first structure reported for the I3-subfamily and framework XI family. The 32 amino acid peptide is comprised of eight cysteine residues with the resultant disulfide connectivity forming an ICK+1 motif. With a triple stranded β-sheet, the GXIA backbone shows striking similarity to Citation: Armstrong, D.A.; Jin, A.-H.; several tarantula toxins targeting the voltage sensor of voltage gated potassium and sodium channels. -
SMALL-MOLECULE CATALYSIS of NATIVE DISULFIDE BOND FORMATION in PROTEINS by Kenneth J. Woycechowsky a Dissenation Submitted in Pa
SMALL-MOLECULE CATALYSIS OF NATIVE DISULFIDE BOND FORMATION IN PROTEINS by Kenneth J. Woycechowsky A dissenation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Biochemistry) at the UNIVERSITY OF WISCONSIN-MADISON 2002 A dissertation entitled Small-Molecule Ca~alysis of Na~ive Disulfide Bond Formation in Proteins submitted to the Graduate School of the University of Wisconsin-Madison in partial fulfillment of the requirements for the degree of Doctor of Philosophy by Kenneth J. Woycechowsky Date of Final Oral Examination: 19 September 2002 Month & Year Degree to be awarded: December 2002 May August **** .... **************** .... ** ...... ************** ........... "1"II_Ir'IIII;;IISIJii:iAh;;;;;?f~D~i:s:sertation Readers: Signature, Dean of Graduate School , 1 Abstract Native disulfide bond formation is essential for the folding of many proteins. The enzyme protein disulfide isomerase (POI) catalyzes native disulfide bond formation using a Cys-Gly-His Cys active site. The active-site properties of POI (thiol pK. =6.7 and disulfide E;O' =-180 mY) are critical for efficient catalysis. This Dissertation describes the design, synthesis, and characterization of small-molecule catalysts that mimic the active-site properties of POI. Chapter Two describes a small-molecule dithiol that has disulfide bond isomerization activity both in vitro and in vivo. The dithiol trans-I,2-bis(mercaptoacetamido)cyclohexane (BMC) has a thiol pKa value of 8.3 and a disulfide E;O' value of -240 mV.ln vitro, BMC increases the folding efficiency of disulfide--scrambled ribonuclease A (sRNase A). Addition of BMC to the growth medium of yeast cells causes an increase in the heterologous secretion of Schizosaccharomyces pombe acid phosphatase. -
A Shape-Shifting Redox Foldase Contributes to Proteus Mirabilis Copper Resistance
ARTICLE Received 7 Oct 2016 | Accepted 24 May 2017 | Published 19 Jul 2017 DOI: 10.1038/ncomms16065 OPEN A shape-shifting redox foldase contributes to Proteus mirabilis copper resistance Emily J. Furlong1, Alvin W. Lo2,3, Fabian Kurth1,w, Lakshmanane Premkumar1,2,w, Makrina Totsika2,3,w, Maud E.S. Achard2,3,w, Maria A. Halili1, Begon˜a Heras4, Andrew E. Whitten1,w, Hassanul G. Choudhury1,w, Mark A. Schembri2,3 & Jennifer L. Martin1,5 Copper resistance is a key virulence trait of the uropathogen Proteus mirabilis. Here we show that P. mirabilis ScsC (PmScsC) contributes to this defence mechanism by enabling swarming in the presence of copper. We also demonstrate that PmScsC is a thioredoxin-like disulfide isomerase but, unlike other characterized proteins in this family, it is trimeric. PmScsC trimerization and its active site cysteine are required for wild-type swarming activity in the presence of copper. Moreover, PmScsC exhibits unprecedented motion as a consequence of a shape-shifting motif linking the catalytic and trimerization domains. The linker accesses strand, loop and helical conformations enabling the sampling of an enormous folding land- scape by the catalytic domains. Mutation of the shape-shifting motif abolishes disulfide isomerase activity, as does removal of the trimerization domain, showing that both features are essential to foldase function. More broadly, the shape-shifter peptide has the potential for ‘plug and play’ application in protein engineering. 1 Institute for Molecular Bioscience, University of Queensland, St Lucia, Queensland 4072, Australia. 2 School of Chemistry and Molecular Biosciences, University of Queensland, St Lucia, Queensland 4072, Australia. -
(12) Patent Application Publication (10) Pub. No.: US 2007/0191272 A1 Stemmer Et Al
US 200701.91272A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2007/0191272 A1 Stemmer et al. (43) Pub. Date: Aug. 16, 2007 (54) PROTEINACEOUS PHARMACEUTICALS Publication Classification AND USES THEREOF (76) Inventors: Willem P.C. Stemmer, Los Gatos, CA (51) Int. Cl. (US); Volker Schellenberger, Palo A6II 38/16 (2006.01) Alto, CA (US); Martin Bader, C40B 40/08 (2006.01) Mountain View, CA (US); Michael C40B 40/10 (2006.01) Scholle, Mountain View, CA (US) C07K I4/47 (2006.01) (52) U.S. Cl. ................. 514/12: 435/7.1: 435/6; 530/324 Correspondence Address: WILSON SONSN GOODRCH & ROSAT 650 PAGE MILL ROAD (57) ABSTRACT PALO ALTO, CA 94304-1050 (US) (21) Appl. No.: 11/528,927 The present invention provides cysteine-containing scaf folds and/or proteins, expression vectors, host cell and (22) Filed: Sep. 27, 2006 display systems harboring and/or expressing such cysteine containing products. The present invention also provides Related U.S. Application Data methods of designing libraries of Such products, methods of (60) Provisional application No. 60/721,270, filed on Sep. screening Such libraries to yield entities exhibiting binding 27, 2005. Provisional application No. 60/721,188, specificities towards a target molecule. Further provided by filed on Sep. 27, 2005. Provisional application No. the invention are pharmaceutical compositions comprising 60/743,622, filed on Mar. 21, 2006. the cysteine-containing products of the present invention. Patent Application Publication Aug. 16, 2007 Sheet 1 of 46 US 2007/0191272 A1 Takara togra: Patent Application Publication Aug. 16, 2007 Sheet 2 of 46 US 2007/0191272 A1 FIG. -
A Tri-Gram Based Feature Extraction Technique Using Linear Probabilities of Position Specific Scoring Matrix for Protein Fold Recognition
A Tri-Gram Based Feature Extraction Technique Using Linear Probabilities of Position Specific Scoring Matrix for Protein Fold Recognition Author Paliwal, Kuldip K, Sharma, Alok, Lyons, James, Dehzangi, Abdollah Published 2014 Journal Title IEEE Transactions on NanoBioscience DOI https://doi.org/10.1109/TNB.2013.2296050 Copyright Statement © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Downloaded from http://hdl.handle.net/10072/67288 Griffith Research Online https://research-repository.griffith.edu.au A Tri-gram Based Feature Extraction Technique Using Linear Probabilities of Position Specific Scoring Matrix for Protein Fold Recognition Kuldip K. Paliwal, Member, IEEE, Alok Sharma, Member, IEEE, James Lyons, Abdollah Dhezangi, Member, IEEE protein structure in a reasonable amount of time. Abstract— In biological sciences, the deciphering of a three The prime objective of protein fold recognition is to find the dimensional structure of a protein sequence is considered to be an fold of a protein sequence. Assigning of protein fold to a important and challenging task. The identification of protein folds protein sequence is a transitional stage in the recognition of from primary protein sequences is an intermediate step in three dimensional structure of a protein. The protein fold discovering the three dimensional structure of a protein. This can be done by utilizing feature extraction technique to accurately recognition broadly covers feature extraction task and extract all the relevant information followed by employing a classification task. -
Folding-TIM Barrel
Protein Folding Practical September 2011 Folding up the TIM barrel Preliminary Examine the parallel beta barrel that you constructed, noting the stagger of the strands that was needed to connect the ends of the 8-stranded parallel beta sheet into the 8-stranded beta barrel. Notice that the stagger dictates which side of the sheet is on the inside and which is on the outside. This will be key information in folding the complete TIM linear peptide into the TIM barrel. Assembling the full linear peptide 1. Make sure the white beta strands are extended correctly, and the 8 yellow helices (with the green loops at each end) are correctly folded into an alpha helix (right handed with H-bonds to the 4th ahead in the chain). 2. starting with a beta strand connect an alpha helix and green loop to make the blue-red connecting peptide bond. Making sure that you connect the carbonyl (red) end of the beta strand to the amino (blue) end of the loop-helix-loop. Secure the just connected peptide bond bond with a twist-tie as shown. 3. complete step 2 for all beta strand/loop-helix-loop pairs, working in parallel with your partners 4. As pairs are completed attach the carboxy end of the strand- loop-helix-loop to the amino end of the next strand-loop-helix-loop module and secure the new peptide bond with a twist-tie as before. Repeat until the full linear TIM polypeptide chain is assembled. Make sure all strands and helices are still in the correct conformations. -
Supplemental Table 7. Every Significant Association
Supplemental Table 7. Every significant association between an individual covariate and functional group (assigned to the KO level) as determined by CPGLM regression analysis. Variable Unit RelationshipLabel See also CBCL Aggressive Behavior K05914 + CBCL Emotionally Reactive K05914 + CBCL Externalizing Behavior K05914 + K15665 K15658 CBCL Total K05914 + K15660 K16130 KO: E1.13.12.7; photinus-luciferin 4-monooxygenase (ATP-hydrolysing) [EC:1.13.12.7] :: PFAMS: AMP-binding enzyme; CBQ Inhibitory Control K05914 - K12239 K16120 Condensation domain; Methyltransferase domain; Thioesterase domain; AMP-binding enzyme C-terminal domain LEC Family Separation/Social Services K05914 + K16129 K16416 LEC Poverty Related Events K05914 + K16124 LEC Total K05914 + LEC Turmoil K05914 + CBCL Aggressive Behavior K15665 + CBCL Anxious Depressed K15665 + CBCL Emotionally Reactive K15665 + K05914 K15658 CBCL Externalizing Behavior K15665 + K15660 K16130 KO: K15665, ppsB, fenD; fengycin family lipopeptide synthetase B :: PFAMS: Condensation domain; AMP-binding enzyme; CBCL Total K15665 + K12239 K16120 Phosphopantetheine attachment site; AMP-binding enzyme C-terminal domain; Transferase family CBQ Inhibitory Control K15665 - K16129 K16416 LEC Poverty Related Events K15665 + K16124 LEC Total K15665 + LEC Turmoil K15665 + CBCL Aggressive Behavior K11903 + CBCL Anxiety Problems K11903 + CBCL Anxious Depressed K11903 + CBCL Depressive Problems K11903 + LEC Turmoil K11903 + MODS: Type VI secretion system K01220 K01058 CBCL Anxiety Problems K11906 + CBCL Depressive -
Using 3D Hidden Markov Models That Explicitly Represent Spatial Coordinates to Model and Compare Protein Structures
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures Vadim Alexandrov1* & Mark Gerstein1,2 1Department of Molecular Biophysics and Biochemistry, 2Department of Computer Science, Yale University, 266 Whitney Ave., New Haven, CT 06511, USA Phone: (203) 432-6105 Fax: (203) 432 5175 E-mail: Vadim Alexandrov: [email protected] Mark Gerstein: [email protected] * To whom correspondence should be addressed: [email protected] 1 Abstract Background Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction. Thus far, however, they have been confined to representing 1D sequence (or the aspects of structure that could be represented by character strings). Results We develop an HMM formalism that explicitly uses 3D coordinates in its match states. The match states are modeled by 3D Gaussian distributions centered on the mean coordinate position of each alpha carbon in a large structural alignment. The transition probabilities depend on the spread of the neighboring match states and on the number of gaps found in the structural alignment. We also develop methods for aligning query structures against 3D HMMs and scoring the result probabilistically. For 1D HMMs these tasks are accomplished by the Viterbi and forward algorithms. However, these will not work in unmodified form for the 3D problem, due to non-local quality of structural alignment, so we develop extensions of these algorithms for the 3D case. Several applications of 3D HMMs for protein structure classification are reported. A good separation of scores for different fold families suggests that the described construct is quite useful for protein structure analysis.