JBB2026 Fall 2020 Simon Sharpe Protein Structure • Peptide
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Compact Hyperbolic Tetrahedra with Non-Obtuse Dihedral Angles
Compact hyperbolic tetrahedra with non-obtuse dihedral angles Roland K. W. Roeder ∗ January 7, 2006 Abstract Given a combinatorial description C of a polyhedron having E edges, the space of dihedral angles of all compact hyperbolic polyhe- dra that realize C is generally not a convex subset of RE [9]. If C has five or more faces, Andreev’s Theorem states that the correspond- ing space of dihedral angles AC obtained by restricting to non-obtuse angles is a convex polytope. In this paper we explain why Andreev did not consider tetrahedra, the only polyhedra having fewer than five faces, by demonstrating that the space of dihedral angles of com- pact hyperbolic tetrahedra, after restricting to non-obtuse angles, is non-convex. Our proof provides a simple example of the “method of continuity”, the technique used in classification theorems on polyhe- dra by Alexandrow [4], Andreev [5], and Rivin-Hodgson [19]. 2000 Mathematics Subject Classification. 52B10, 52A55, 51M09. Key Words. Hyperbolic geometry, polyhedra, tetrahedra. Given a combinatorial description C of a polyhedron having E edges, the space of dihedral angles of all compact hyperbolic polyhedra that realize C is generally not a convex subset of RE. This is proved in a nice paper by D´ıaz [9]. However, Andreev’s Theorem [5, 13, 14, 20] shows that by restricting to compact hyperbolic polyhedra with non-obtuse dihedral angles, E the space of dihedral angles is a convex polytope, which we label AC R . It is interesting to note that the statement of Andreev’s Theorem requires⊂ ∗rroeder@fields.utoronto.ca 1 that C have five or more faces, ruling out the tetrahedron which is the only polyhedron having fewer than five faces. -
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. -
Using Information Theory to Discover Side Chain Rotamer Classes
Pacific Symposium on Biocomputing 4:278-289 (1999) U S I N G I N F O R M A T I O N T H E O R Y T O D I S C O V E R S I D E C H A I N R O T A M E R C L A S S E S : A N A L Y S I S O F T H E E F F E C T S O F L O C A L B A C K B O N E S T R U C T U R E J A C Q U E L Y N S . F E T R O W G E O R G E B E R G Department of Molecular Biology Department of Computer Science The Scripps Research Institute University at Albany, SUNY La Jolla, CA 92037, USA Albany, NY 12222, USA An understanding of the regularities in the side chain conformations of proteins and how these are related to local backbone structures is important for protein modeling and design. Previous work using regular secondary structures and regular divisions of the backbone dihedral angle data has shown that these rotamers are sensitive to the protein’s local backbone conformation. In this preliminary study, we demonstrate a method for combining a more general backbone structure model with an objective clustering algorithm to investigate the effects of backbone structures on side chain rotamer classes and distributions. For the local structure classification, we use the Structural Building Blocks (SBB) categories, which represent all types of secondary structure, including regular structures, capping structures, and loops. -
Predicting Backbone Cα Angles and Dihedrals from Protein Sequences by Stacked Sparse Auto-Encoder Deep Neural Network
Predicting backbone C# angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network Author Lyons, James, Dehzangi, Abdollah, Heffernan, Rhys, Sharma, Alok, Paliwal, Kuldip, Sattar, Abdul, Zhou, Yaoqi, Yang, Yuedong Published 2014 Journal Title Journal of Computational Chemistry DOI https://doi.org/10.1002/jcc.23718 Copyright Statement © 2014 Wiley Periodicals, Inc.. This is the accepted version of the following article: Predicting backbone Ca angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network Journal of Computational Chemistry, Vol. 35(28), 2014, pp. 2040-2046, which has been published in final form at dx.doi.org/10.1002/jcc.23718. Downloaded from http://hdl.handle.net/10072/64247 Griffith Research Online https://research-repository.griffith.edu.au Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network James Lyonsa, Abdollah Dehzangia,b, Rhys Heffernana, Alok Sharmaa,c, Kuldip Paliwala , Abdul Sattara,b, Yaoqi Zhoud*, Yuedong Yang d* aInstitute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia bNational ICT Australia (NICTA), Brisbane, Australia cSchool of Engineering and Physics, University of the South Pacific, Private Mail Bag, Laucala Campus, Suva, Fiji dInstitute for Glycomics and School of Information and Communication Technique, Griffith University, Parklands Dr. Southport, QLD 4222, Australia *Corresponding authors ([email protected], [email protected]) ABSTRACT Because a nearly constant distance between two neighbouring Cα atoms, local backbone structure of proteins can be represented accurately by the angle between Cαi-1−Cαi−Cαi+1 (θ) and a dihedral angle rotated about the Cαi−Cαi+1 bond (τ). -
Toroidal Diffusions and Protein Structure Evolution
Toroidal diffusions and protein structure evolution Eduardo García-Portugués1;7, Michael Golden2, Michael Sørensen3, Kanti V. Mardia2;4, Thomas Hamelryck5;6, and Jotun Hein2 Abstract This chapter shows how toroidal diffusions are convenient methodological tools for modelling protein evolution in a probabilistic framework. The chapter addresses the construction of ergodic diffusions with stationary distributions equal to well-known directional distributions, which can be regarded as toroidal analogues of the Ornstein–Uhlenbeck process. The important challenges that arise in the estimation of the diffusion parameters require the consideration of tractable approximate likelihoods and, among the several approaches introduced, the one yielding a spe- cific approximation to the transition density of the wrapped normal process is shown to give the best empirical performance on average. This provides the methodological building block for Evolutionary Torus Dynamic Bayesian Network (ETDBN), a hidden Markov model for protein evolution that emits a wrapped normal process and two continuous-time Markov chains per hid- den state. The chapter describes the main features of ETDBN, which allows for both “smooth” conformational changes and “catastrophic” conformational jumps, and several empirical bench- marks. The insights into the relationship between sequence and structure evolution that ETDBN provides are illustrated in a case study. Keywords: Directional statistics; Evolution; Probabilistic model; Protein structure; Stochastic differential equation; Wrapped -
H2O2 and NH 2 OH
Int. J. Mol. Sci. 2006 , 7, 289-319 International Journal of Molecular Sciences ISSN 1422-0067 © 2006 by MDPI www.mdpi.org/ijms/ A Quest for the Origin of Barrier to the Internal Rotation of Hydrogen Peroxide (H 2O2) and Fluorine Peroxide (F 2O2) Dulal C. Ghosh Department of Chemistry, University of Kalyani, Kalyani-741235, India Email: [email protected], Fax: +91-33 25828282 Received: 2 July 2006 / Accepted: 24 July 2006 / Published: 25 August 2006 Abstract: In order to understand the structure-property relationship, SPR, an energy- partitioning quest for the origin of the barrier to the internal rotation of two iso-structural molecules, hydrogen peroxide, H 2O2, and fluorine peroxide, F 2O2 is performed. The hydrogen peroxide is an important bio-oxidative compound generated in the body cells to fight infections and is an essential ingredient of our immune system. The fluorine peroxide is its analogue. We have tried to discern the interactions and energetic effects that entail the nonplanar skew conformation as the equilibrium shape of the molecules. The physical process of the dynamics of internal rotation initiates the isomerization reaction and generates infinite number of conformations. The decomposed energy components faithfully display the physical process of skewing and eclipsing as a function of torsional angles and hence are good descriptors of the process of isomerization reaction of hydrogen peroxide (H 2O2) and dioxygen difluoride (F 2O2) associated with the dynamics of internal rotation. It is observed that the one-center, two-center bonded and nonbonded interaction terms are sharply divided in two groups. One group of interactions hinders the skewing and favours planar cis/trans forms while the other group favours skewing and prefers the gauche conformation of the molecule. -
Klein 4A Alkanes+Isomerism
Grossman, CHE 230 4a. Alkanes. Conformational Stereoisomerism. Structural Isomerism. 4a.1 Derivatives of methane. We can replace one of the H atoms in methane with another atom or group. These atoms or groups are called heteroatoms. Examples: Methyl bromide, methyl iodide, methanol, methylamine, methanethiol. Here the central C atom is not quite as perfectly tetrahedral, but for our purposes, it is close enough. If the H atom is replaced with nothing, we have three possibilities. – • We can remove just the H nucleus and leave behind two electrons -- this gives CH3 , with sp3 hybridization. It has the same structure as ammonia, just one fewer proton (and neutron) in the nucleus in the center. + • We can take away the H nucleus and both electrons. This gives us CH3 . The hybridization here? We don't want to waste valuable low-energy s orbital in a hybrid orbital in which there are no electrons. Instead, the valuable s electron is divided equally among the six electrons (three bonds) remaining. Three bonds means three orbitals, one s and two p. That means the third p orbital remains unhybridized. This situation is called sp2 hybridization. Two p orbitals occupy a plane, so in sp2 hybridization, the three hybrid orbitals are coplanar. They point 120° apart, to the corners of a triangle. The unhybridized p orbital is perpendicular to this plane. • What if we take away the H nucleus and one electron? We have a situation in which CH3· (methyl radical) is between sp2 and sp3 hybridization. It's a shallow pyramid. These species are high in energy and don't exist for long. -
Nomenclature and Conformations of Alkanes and Cycloalkanes1 on The
Andrew Rosen Chapter 4 - Nomenclature and Conformations of Alkanes and Cycloalkanes1 4.1 - Introduction to Alkanes and Cycloalkanes - Alkanes are hydrocarbons with all carbon-carbon single bonds - Alkenes are hydrocarbons with a carbon-carbon double bond - Alkynes are hydrocarbons with a carbon-carbon triple bond - Cycloalkanes are alkanes in which all or some of the carbon atoms are arranged in a ring - Alkanes have the general formula of CnH2n+2 - Cycloalkanes with a single ring have the formula CnH2n 4.2 - Shapes of Alkanes - An unbranched chain means that each carbon atom is bonded to no more than two other carbon atoms and that there are only primary and secondary carbon atoms 4.3 - IUPAC Nomenclature of Alkanes, Alkyl Halides, and Alcohols - Endings of alkane names end in −ane, and the standard prexes apply to how many carbon atoms there are (meth-, eth-, prop-, but-, pent-, etc.) - An alkyl group has one hydrogen removed from an alkane, and the names have a sux of −yl Rules for naming branched-chain alkanes: 1) Locate the longest continuous chain of carbon atoms. This chain determines the parent (prex) name for the alkane. Always start numbering from the end of a chain 2) Number the longest chain begining with the end of the chain nearer the substitutent 3) Use the numbers obtained by application of Rule 2 to designate the location of the substitutent group 4) When two or more substitutents are present, give each substituent a number corresponding to its location on the longest chain. Name them in alphabetical order 5) When two -
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. -
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. -
Unit-2 Conformational Isomerism
UNIT-2 CONFORMATIONAL ISOMERISM In chemistry, conformational isomerism is a form of stereoisomerism in which the isomers can be interconverted exclusively by rotations about formally single bonds. Such isomers are generally referred to as conformational isomers or conformers and specifically as rotamers when the rotation leading to different conformations is restricted (hindered) rotation, in the sense that there exists a rotational energy barrier that needs to be overcome to convert one conformer to another. Conformational isomers are thus distinct from the other classes of stereoisomers for which interconversion necessarily involves breaking and reforming of chemical bonds. The rotational barrier, or barrier to rotation, is the activation energy required to interconvert rotamers. Conformers of butane, shown in Newman projection. The two gauche as well as the anti form are staggered conformations Types of conformational isomerism Butane has three rotamers: two gauche conformers, which are enantiomeric and an anti conformer, where the four carbon centres are coplanar. The three eclipsed conformations with dihedral angles of 0°,120° and 240° are not considered to be rotamers, but are instead transition states. Some important examples of conformational isomerism include: 1. Linear alkane conformations with staggered, eclipsed and gauche conformers, and 2. Ring conformation o Cyclohexane conformations with chair and boat conformers. o Carbohydrate conformation 3. Atropisomerism- due to restricted rotation about a bond, a molecule can become chiral 4. Folding of molecules, where some shapes are stable and functional, but others are not. Conformations of Ethane While there are an infinite number of conformations about any sigma bond, in ethane two particular conformers are noteworthy and have special names. -
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.