JBB2026 Fall 2012 Lectures 2 & 3 -- Gil Privé Protein Structure • Peptide
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Simulations of Я-Hairpin Folding Confined to Spherical Pores Using
Simulations of -hairpin folding confined to spherical pores using distributed computing D. K. Klimov*†, D. Newfield‡, and D. Thirumalai*† *Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742; and ‡Parabon Computation, 3930 Walnut Street, Suite 100, Fairfax, VA 22030-4738 Communicated by George H. Lorimer, University of Maryland, College Park, MD, April 12, 2002 (received for review December 18, 2001) 3 ϱ We report the thermodynamics and kinetics of an off-lattice Go radius of gyration of a chain Rg at D (the size of a chain in  Ӎ model -hairpin from Ig-binding protein confined to an inert bulk solution) to N according to Rg aN . If the chain is ideal, ϭ ⌬ ϭ ͞ 2 spherical pore. Confinement enhances the stability of the hairpin then 0.5 and FU RTN(a D) . Because of the reduction due to the decrease in the entropy of the unfolded state. Compared in the translational entropy, confinement also increases the free ⌬ Ͼ ⌬ ͞⌬ ϽϽ with their values in the bulk, the rates of hairpin formation increase energy of the native state, i.e., FN 0. If FN FU 1, then in the spherical pore. Surprisingly, the dependence of the rates on localization of a protein in a confined space stabilizes the native the pore radius, Rs, is nonmonotonic. The rates reach a maximum state compared with the bulk. It also follows that there is a range ͞ b Ӎ b at Rs Rg,N 1.5, where Rg,N is the radius of gyration of the folded of D values over which stability is maximized. -
Inclusion of a Furin Cleavage Site Enhances Antitumor Efficacy
toxins Article Inclusion of a Furin Cleavage Site Enhances Antitumor Efficacy against Colorectal Cancer Cells of Ribotoxin α-Sarcin- or RNase T1-Based Immunotoxins Javier Ruiz-de-la-Herrán 1, Jaime Tomé-Amat 1,2 , Rodrigo Lázaro-Gorines 1, José G. Gavilanes 1 and Javier Lacadena 1,* 1 Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias Químicas, Universidad Complutense de Madrid, Madrid 28040, Spain; [email protected] (J.R.-d.-l.-H.); [email protected] (J.T.-A.); [email protected] (R.L.-G.); [email protected] (J.G.G.) 2 Centre for Plant Biotechnology and Genomics (UPM-INIA), Universidad Politécnica de Madrid, Pozuelo de Alarcón, Madrid 28223, Spain * Correspondence: [email protected]; Tel.: +34-91-394-4266 Received: 3 September 2019; Accepted: 10 October 2019; Published: 12 October 2019 Abstract: Immunotoxins are chimeric molecules that combine the specificity of an antibody to recognize and bind tumor antigens with the potency of the enzymatic activity of a toxin, thus, promoting the death of target cells. Among them, RNases-based immunotoxins have arisen as promising antitumor therapeutic agents. In this work, we describe the production and purification of two new immunoconjugates, based on RNase T1 and the fungal ribotoxin α-sarcin, with optimized properties for tumor treatment due to the inclusion of a furin cleavage site. Circular dichroism spectroscopy, ribonucleolytic activity studies, flow cytometry, fluorescence microscopy, and cell viability assays were carried out for structural and in vitro functional characterization. Our results confirm the enhanced antitumor efficiency showed by these furin-immunotoxin variants as a result of an improved release of their toxic domain to the cytosol, favoring the accessibility of both ribonucleases to their substrates. -
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. -
Protein Structure Databases and Classification
Protein Structure Databases and Classification •SCOP, CATH classification schemes, what they mean. •Motifs: classic turn types. Extended turn types. •TOPS: drawing a protein molecule The SCOP database • Contains information about classification of protein structures and within that classification, their sequences • Go to http://scop.berkeley.edu SCOP classification heirarchy global characteristics (no (1) class evolutionary relation) (2) fold Similar “topology” . Distant (3) superfamily evolutionary cousins? (4) family Clear structural homology (5) protein Clear sequence homology (6) species functionally identical unique sequences protein classes 1. all α (126) number of sub-categories 2. all β (81) 3. α/β (87) 4. α+β (151) 5. multidomain (21) 6. membrane (21) 7. small (10) 8. coiled coil (4) 9. low-resolution (4) possibly not complete, or 10. peptides (61) erroneous 11. designed proteins (17) class: α/β proteins Mainly parallel beta sheets (beta-alpha-beta units) Folds: TIM-barrel (22) swivelling beta/beta/alpha domain (5) spoIIaa-like (2) flavodoxin-like (10) restriction endonuclease-like (2) ribokinase-like (2) Many folds have historical names. chelatase-like (2) “TIM” barrel was first seen in TIM. These classifications are done by eye, mostly. fold: flavodoxin-like 3 layers, α/β/α; parallel beta-sheet of 5 strand, order 21345 Superfamilies: 1.Catalase, C-terminal domain (1) Note the term: “layers” 2.CheY-like (1) 3.Succinyl-CoA synthetase domains (1) These are not domains. 4.Flavoproteins (3) No implication of 5.Cobalamin (vitamin B12)-binding domain (1) structural independence. 6.Ornithine decarboxylase N-terminal "wing" domain (1) Note how beta sheets are 7.Cutinase-like (1) described: number of 8.Esterase/acetylhydrolase (2) strands, order (N->C) 9.Formate/glycerate dehydrogenase catalytic domain-like (3) 10.Type II 3-dehydroquinate dehydratase (1) fold-level similarity common topological features catalase flavodoxin At the fold level, a common core of secondary structure is conserved. -
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 -
Tertiary Structure
Comments Structural motif v sequence motif polyproline (“PXXP”) motif for SH3 binding “RGD” motif for integrin binding “GXXXG” motif within the TM domain of membrane protein Most common type I’ beta turn sequences: X – (N/D/G)G – X Most common type II’ beta turn sequences: X – G(S/T) – X 1 Putting it together Alpha helices and beta sheets are not proteins—only marginally stable by themselves … Extremely small “proteins” can’t do much 2 Tertiary structure • Concerns with how the secondary structure units within a single polypeptide chain associate with each other to give a three- dimensional structure • Secondary structure, super secondary structure, and loops come together to form “domains”, the smallest tertiary structural unit • Structural domains (“domains”) usually contain 100 – 200 amino acids and fold stably. • Domains may be considered to be connected units which are to varying extents independent in terms of their structure, function and folding behavior. Each domain can be described by its fold, i.e. how the secondary structural elements are arranged. • Tertiary structure also includes the way domains fit together 3 Domains are modular •Because they are self-stabilizing, domains can be swapped both in nature and in the laboratory PI3 kinase beta-barrel GFP Branden & Tooze 4 fluorescence localization experiment Chimeras Recombinant proteins are often expressed and purified as fusion proteins (“chimeras”) with – glutathione S-transferase – maltose binding protein – or peptide tags, e.g. hexa-histidine, FLAG epitope helps with solubility, stability, and purification 5 Structural Classification All classifications are done at the domain level In many cases, structural similarity implies a common evolutionary origin – structural similarity without evolutionary relationship is possible – but no structural similarity means no evolutionary relationship Each domain has its corresponding “fold”, i.e. -
Β-Barrel Oligomers As Common Intermediates of Peptides Self
www.nature.com/scientificreports OPEN β-barrel Oligomers as Common Intermediates of Peptides Self-Assembling into Cross-β Received: 20 April 2018 Accepted: 22 June 2018 Aggregates Published: xx xx xxxx Yunxiang Sun, Xinwei Ge, Yanting Xing, Bo Wang & Feng Ding Oligomers populated during the early amyloid aggregation process are more toxic than mature fbrils, but pinpointing the exact toxic species among highly dynamic and heterogeneous aggregation intermediates remains a major challenge. β-barrel oligomers, structurally-determined recently for a slow-aggregating peptide derived from αB crystallin, are attractive candidates for exerting amyloid toxicity due to their well-defned structures as therapeutic targets and compatibility to the “amyloid- pore” hypothesis of toxicity. To assess whether β-barrel oligomers are common intermediates to amyloid peptides - a necessary step toward associating β-barrel oligomers with general amyloid cytotoxicity, we computationally studied the oligomerization and fbrillization dynamics of seven well- studied fragments of amyloidogenic proteins with diferent experimentally-determined aggregation morphologies and cytotoxicity. In our molecular dynamics simulations, β-barrel oligomers were only observed in fve peptides self-assembling into the characteristic cross-β aggregates, but not the other two that formed polymorphic β-rich aggregates as reported experimentally. Interestingly, the latter two peptides were previously found nontoxic. Hence, the observed correlation between β-barrel oligomers formation and cytotoxicity supports the hypothesis of β-barrel oligomers as the common toxic intermediates of amyloid aggregation. Aggregation of proteins and peptides into amyloid fbrils is associated with more than 25 degenerative diseases, including Alzheimer’s disease (AD)1,2, Parkinson’s disease (PD)3,4, prion conditions5 and type-2 diabetes (T2D)6,7. -
Predicting Protein Secondary and Supersecondary Structure
29 Predicting Protein Secondary and Supersecondary Structure 29.1 Introduction............................................ 29-1 Background • Difficulty of general protein structure prediction • A bottom-up approach 29.2 Secondary structure ................................... 29-5 Early approaches • Incorporating local dependencies • Exploiting evolutionary information • Recent developments and conclusions 29.3 Tight turns ............................................. 29-13 29.4 Beta hairpins........................................... 29-15 29.5 Coiled coils ............................................. 29-16 Early approaches • Incorporating local dependencies • Predicting oligomerization • Structure-based predictions • Predicting coiled-coil protein interactions Mona Singh • Promising future directions Princeton University 29.6 Conclusions ............................................ 29-23 29.1 Introduction Proteins play a key role in almost all biological processes. They take part in, for example, maintaining the structural integrity of the cell, transport and storage of small molecules, catalysis, regulation, signaling and the immune system. Linear protein molecules fold up into specific three-dimensional structures, and their functional properties depend intricately upon their structures. As a result, there has been much effort, both experimental and computational, in determining protein structures. Protein structures are determined experimentally using either x-ray crystallography or nuclear magnetic resonance (NMR) spectroscopy. While -
BMC Structural Biology Biomed Central
BMC Structural Biology BioMed Central Research article Open Access Natural history of S-adenosylmethionine-binding proteins Piotr Z Kozbial*1 and Arcady R Mushegian1,2 Address: 1Stowers Institute for Medical Research, 1000 E. 50th St., Kansas City, MO 64110, USA and 2Department of Microbiology, Molecular Genetics, and Immunology, University of Kansas Medical Center, Kansas City, Kansas 66160, USA Email: Piotr Z Kozbial* - [email protected]; Arcady R Mushegian - [email protected] * Corresponding author Published: 14 October 2005 Received: 21 July 2005 Accepted: 14 October 2005 BMC Structural Biology 2005, 5:19 doi:10.1186/1472-6807-5-19 This article is available from: http://www.biomedcentral.com/1472-6807/5/19 © 2005 Kozbial and Mushegian; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: S-adenosylmethionine is a source of diverse chemical groups used in biosynthesis and modification of virtually every class of biomolecules. The most notable reaction requiring S- adenosylmethionine, transfer of methyl group, is performed by a large class of enzymes, S- adenosylmethionine-dependent methyltransferases, which have been the focus of considerable structure-function studies. Evolutionary trajectories of these enzymes, and especially of other classes of S-adenosylmethionine-binding proteins, nevertheless, remain poorly understood. We addressed this issue by computational comparison of sequences and structures of various S- adenosylmethionine-binding proteins. Results: Two widespread folds, Rossmann fold and TIM barrel, have been repeatedly used in evolution for diverse types of S-adenosylmethionine conversion. -
Molecular Modeling 2021 Lecture 3 -- Tues Feb 2
Molecular Modeling 2021 lecture 3 -- Tues Feb 2 Protein classification SCOP TOPS Contact maps domains Domains To a cell biologist a domain is a sequential unit within a gene, usually with a specific function. To a structural biologist a domain is a compact globular unit within a protein, classified by its 3D structure. 2 A domain is... • ... an autonomously-folding substructure of a protein. • ... > 30 residues, but typically < 200. May be bigger. • ...usually has a single hydrophobic core • ... usually composed of one chain (occasionally composed of multiple chains) • ...is usually composed on one contiguous segment (occasionally made of discontiguous segments of the same chain) 3 SARS-CoV-2 spike protein — a multi domain protein 4 SCOPe -- classification of domains !http://scop.berkeley.edu similar secondary structure (1) class content (2) fold vague structural homology (3) superfamily Clear structural homology (4) family increasing structural similarity structural increasing (5) protein Clear sequence homology (6) species nearly identical sequences individual structures SCOPe -- class 1. all α (289) classes of domains 2. all β (178) 3. α/β (148) 4. α+β (388) 5. multidomain (71) 6. membrane (60) 7. small (98) Not true classes of globular 8. coiled coil (7) protein domains 9. low-resolution (25) 10. peptides (148) 11. designed proteins (44) 12. artifacts (1) Proteins of the same class conserve secondary structure content SCOPe -- fold level within α/β proteins -- Mainly parallel beta sheets (beta-alpha-beta units) TIM-barrel (22) swivelling beta/beta/alpha domain (5) Many folds have historical spoIIaa-like (2) names. “TIM” barrel was flavodoxin-like (10) first seen in TIM. -
Beta Structure Motifs of Islet Amyloid Polypeptides Identified Through Surface-Mediated Assemblies
Beta structure motifs of islet amyloid polypeptides identified through surface-mediated assemblies Xiao-Bo Mao (毛晓波)a,1, Chen-Xuan Wang (王晨轩)a,b,1, Xing-Kui Wu (吴兴奎)a, Xiao-Jing Ma (马晓晶)a,c, Lei Liu (刘磊)a,LanZhang(张岚)a,LinNiu(牛琳)a, Yuan-Yuan Guo (郭元元)a,Deng-HuaLi(李灯华)a, Yan-Lian Yang (杨延莲)a,2, and Chen Wang (王琛)a,2 aNational Center for Nanoscience and Technology, Beijing 100190, China; bDepartment of Chemistry, Tsinghua University, Beijing 100084, China; and cState Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Science, Changchun 130022, China Edited by* David Eisenberg, University of California, Los Angeles, CA, and approved September 29, 2011 (received for review February 22, 2011) We report here the identification of the key sites for the beta struc- been made in the aggregation behaviors of the mutant analogs ture motifs of the islet amyloid polypeptide (IAPP) analogs by using of IAPP (2, 7, 12, 15, 21–24), while more evidence is still needed scanning tunneling microscopy (STM). Duplex folding structures in to gain insight into the relationship between primary sequences of human IAPP8–37 (hIAPP8–37) assembly were observed featuring the IAPP analogs and the conformational variants. a hairpin structure. The multiplicity in rIAPP assembly structures It is generally acknowledged that the noncrystalline nature of indicates the polydispersity of the rat IAPP8–37 (rIAPP8–37) beta-like the fibril structures formed by amyloidal peptides makes it experi- motifs. The bimodal length distribution of beta structure motifs mentally challenging for structural analyses at molecular level. -
Peptide Folding Simulations S Gnanakaran, Hugh Nymeyer, John Portman, Kevin Y Sanbonmatsu and Angel E Garcı´A
Peptide folding simulations S Gnanakaran, Hugh Nymeyer, John Portman, Kevin Y Sanbonmatsu and Angel E Garcı´aà Developments in the design of small peptides that mimic urational entropy, hydrogen bond formation, solvation, proteins in complexity, recent advances in nanosecond hydrophobic core formation and ion pair formation deter- time-resolved spectroscopy methods to study peptides and the mines the folding rate and stability of proteins. This development of modern, highly parallel simulation algorithms competition plays an essential role throughout the fold- have come together to give us a detailed picture of peptide ing process and determines the thermodynamic equili- folding dynamics. Two newly implemented simulation brium between folded and unfolded states. Modeling techniques, parallel replica dynamics and replica exchange this competition is a standing challenge in peptide fold- molecular dynamics, can now describe directly from simulations ing simulations. the kinetics and thermodynamics of peptide formation, respectively. Given these developments, the simulation Three major developments have positioned the simulation community now has the tools to verify and validate simulation community to make significant advances toward under- protocols and models (forcefields). standing the mechanism of folding of peptides and small proteins. Firstly, the design of small peptides that mimic Addresses proteins in complexity, but are sufficiently small to allow Theoretical Biology and Biophysics Group, Theoretical Division, T10 MS detailed simulation studies [1–4]. Secondly, the develop- K710, Los Alamos National Laboratory, Los Alamos, NM 87545, USA à ment of fast (nanosecond) time-resolved spectroscopy e-mail: [email protected] methods to study peptide folding dynamics on the same timescale as computer simulations [5–8,9,10,11,12].