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computational structural biology

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https://www.readbyqxmd.com/read/28646471/decoding-early-myelopoiesis-from-dynamics-of-core-endogenous-network
#1
Hang Su, Gaowei Wang, Ruoshi Yuan, Junqiang Wang, Ying Tang, Ping Ao, Xiaomei Zhu
A decade ago mainstream molecular biologists regarded it impossible or biologically ill-motivated to understand the dynamics of complex biological phenomena, such as cancer genesis and progression, from a network perspective. Indeed, there are numerical difficulties even for those who were determined to explore along this direction. Undeterred, seven years ago a group of Chinese scientists started a program aiming to obtain quantitative connections between tumors and network dynamics. Many interesting results have been obtained...
May 29, 2017: Science China. Life Sciences
https://www.readbyqxmd.com/read/28644563/gas-phase-dissociation-study-of-erythrinian-alkaloids-by-electrospray-ionization-mass-spectrometry-and-computational-methods
#2
T Guaratini, L G P Feitosa, D B Silva, N P Lopes, J L C Lopes, R Vessecchi
Alkaloids from plants of the genus Erythrina display important biological activities, including anxiolytic action. Characterization of these alkaloids by mass spectrometry (MS) has contributed to the construction of a spectral library, has improved understanding of their structures, and has supported the proposal of fragmentation mechanisms in light of density functional calculations (DFT). In this study, we have used low- and high-resolution MS(n) analyses to investigate the fragmentation patterns of erythrinian alkaloids; we have employed the B3LYP/6-31+G(d,p) model to obtain their reactive sites...
June 23, 2017: Journal of Mass Spectrometry: JMS
https://www.readbyqxmd.com/read/28643003/recent-developments-in-solution-nuclear-magnetic-resonance-nmr-based-molecular-biology
#3
REVIEW
Joshua J Ziarek, Diego Baptista, Gerhard Wagner
Visualizing post-translational modifications, conformations, and interaction surfaces of protein structures at atomic resolution underpins the development of novel therapeutics to combat disease. As computational resources expand, in silico calculations coupled with experimentally derived structures and functional assays have led to an explosion in structure-based drug design (SBDD) with several compounds in clinical trials. It is increasingly clear that "hidden" transition-state structures along activation trajectories can be harnessed to develop novel classes of allosteric inhibitors...
June 23, 2017: Journal of Molecular Medicine: Official Organ of the "Gesellschaft Deutscher Naturforscher und Ärzte"
https://www.readbyqxmd.com/read/28642271/powerful-genetic-association-analysis-for-common-or-rare-variants-with-high-dimensional-structured-traits
#4
Xiang Zhan, Ni Zhao, Anna Plantinga, Timothy A Thornton, Karen N Conneely, Michael P Epstein, Michael C Wu
Many genetic association studies collect a wide range of complex traits. As these traits may be correlated and share a common genetic mechanism, joint analysis can be statistically more powerful and biologically more meaningful. However, most existing tests for multiple traits cannot be used for high-dimensional and possibly structured traits, such as network-structured transcriptomic pathway expressions. To overcome potential limitations, in this paper we propose the dual kernel-based association test (DKAT) for testing the association between multiple traits and multiple genetic variants, both common and rare...
June 22, 2017: Genetics
https://www.readbyqxmd.com/read/28641555/supervised-machine-learning-methods-applied-to-predict-ligand-binding-affinity
#5
Gabriela Sehnem Heck, Val Oliveira Pintro, Richard Rene Pereira, Mauricio Boff de Ávila, Nayara Maria Bernhardt Levin, Walter Filgueira de Azevedo
BACKGROUND: Calculation of ligand-binding affinity is an open problem in computational medicinal chemistry. The ability to computationally predict affinities has a beneficial impact in the early stages of drug development, since it allows a mathematical model to assess protein-ligand interactions. Due to the availability of structural and binding information, machine learning methods have been applied to generate scoring functions with good predictive power. OBJECTIVE: Our goal here is to review recent developments in the application of machine learning methods to predict ligand- binding affinity...
June 22, 2017: Current Medicinal Chemistry
https://www.readbyqxmd.com/read/28641268/newgoa-predicting-new-go-annotations-of-proteins-by-bi-random-walks-on-a-hybrid-graph
#6
Guoxian Yu, Guangyuan Fu, Jun Wang, Yingwen Zhao
A remaining key challenge of modern biology is annotating the functional roles of proteins. Various computational models have been proposed for this challenge. Most of them assume the annotations of annotated proteins are complete. But in fact, many of them are incomplete. We proposed a method called NewGOA to predict new Gene Ontology (GO) annotations for incompletely annotated proteins and for completely un-annotated ones. NewGOA employs a hybrid graph, composed of two types of nodes (proteins and GO terms), to encode interactions between proteins, hierarchical relationships between terms and available annotations of proteins...
June 15, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28640810/lassim-a-network-inference-toolbox-for-genome-wide-mechanistic-modeling
#7
Rasmus Magnusson, Guido Pio Mariotti, Mattias Köpsén, William Lövfors, Danuta R Gawel, Rebecka Jörnsten, Jörg Linde, Torbjörn Nordling, Elin Nyman, Sylvie Schulze, Colm E Nestor, Huan Zhang, Gunnar Cedersund, Mikael Benson, Andreas Tjärnberg, Mika Gustafsson
Recent technological advancements have made time-resolved, quantitative, multi-omics data available for many model systems, which could be integrated for systems pharmacokinetic use. Here, we present large-scale simulation modeling (LASSIM), which is a novel mathematical tool for performing large-scale inference using mechanistically defined ordinary differential equations (ODE) for gene regulatory networks (GRNs). LASSIM integrates structural knowledge about regulatory interactions and non-linear equations with multiple steady state and dynamic response expression datasets...
June 22, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28639657/exploring-the-catalytic-mechanism-of-dihydropteroate-synthase-elucidating-the-differences-between-the-substrate-and-inhibitor
#8
Warot Chotpatiwetchkul, Kanokthip Boonyarattanakalin, Duangkamol Gleeson, M Paul Gleeson
Dihydropteroate synthase (DHPS) catalyzes the condensation of 6-hydroxymethyl-7,8-dihydropterin pyrophosphate (DHPPP) with p-aminobenzoic acid (pABA) and is a well validated target for anti-malarial and anti-bacterial drugs. However, in recent years its utility as a therapeutic target has diminished considerably due to multiple mutations. As such, considerable structural biology and medicinal chemistry effort has been expended to understand and overcome this issue. To date no detailed computational analysis of the protein mechanism has been made despite the detailed crystal structures and multiple mechanistic proposals being made...
June 22, 2017: Organic & Biomolecular Chemistry
https://www.readbyqxmd.com/read/28638442/computational-dynamic-approaches-for-temporal-omics-data-with-applications-to-systems-medicine
#9
REVIEW
Yulan Liang, Arpad Kelemen
Modeling and predicting biological dynamic systems and simultaneously estimating the kinetic structural and functional parameters are extremely important in systems and computational biology. This is key for understanding the complexity of the human health, drug response, disease susceptibility and pathogenesis for systems medicine. Temporal omics data used to measure the dynamic biological systems are essentials to discover complex biological interactions and clinical mechanism and causations. However, the delineation of the possible associations and causalities of genes, proteins, metabolites, cells and other biological entities from high throughput time course omics data is challenging for which conventional experimental techniques are not suited in the big omics era...
2017: BioData Mining
https://www.readbyqxmd.com/read/28637405/molecular-dynamics-simulations-challenges-and-opportunities-a-biologist-s-prospective
#10
Indu Kumari, Padmani Sandhu, Mushtaq Ahmed, Yusuf Akhter
Molecular dynamics (MD) is a computational technique which is used to study biomolecules in virtual environment. Each of the constituent atoms represents a particle and hence the biomolecule embodies a multi-particle mechanical system analyzed within a simulation box during MD analysis. The potential energies of the atoms are explained by a mathematical expression consisting of different forces and space parameters. There are various software and force fields that have been developed for MD studies of the biomolecules...
June 21, 2017: Current Protein & Peptide Science
https://www.readbyqxmd.com/read/28636358/transferable-atom-centered-potentials-for-the-correction-of-basis-set-incompleteness-errors-in-density-functional-theory
#11
Alberto Otero-de-la-Roza, Gino A DiLabio
Recent progress in the accurate calculation of non-covalent interactions has enabled density-functional theory (DFT) to model systems relevant in biological and supramolecular chemistry. The application of DFT methods using atom-centered Gaussian basis sets to large systems is limited by the number of basis functions required to accurately model thermochemistry and, in particular, weak intermolecular interactions. Basis-set incompleteness error (BSIE) arising from the use of incomplete basis sets leads to erroneous intermolecular energies, bond dissociation energies, and structures...
June 21, 2017: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/28636349/water-dynamics-from-the-surface-to-the-interior-of-a-supramolecular-nanostructure
#12
Julia H Ortony, Baofu Qiao, Christina J Newcomb, Timothy J Keller, Liam C Palmer, Elad Deiss-Yehiely, Monica Olvera de la Cruz, Songi Han, Samuel I Stupp
Water within and surrounding the structure of a biological system adopts context-specific dynamics that mediate virtually all of the events involved in the inner workings of a cell. These events range from protein folding and molecular recognition to the formation of hierarchical structures. Water dynamics are mediated by the chemistry and geometry of interfaces where water and biomolecules meet. Here we investigate experimentally and computationally the translational dynamics of vicinal water molecules within the volume of a supramolecular peptide nanofiber measuring 6...
June 21, 2017: Journal of the American Chemical Society
https://www.readbyqxmd.com/read/28630158/computational-studies-of-peptide-induced-membrane-pore-formation
#13
REVIEW
Richard Lipkin, Themis Lazaridis
A variety of peptides induce pores in biological membranes; the most common ones are naturally produced antimicrobial peptides (AMPs), which are small, usually cationic, and defend diverse organisms against biological threats. Because it is not possible to observe these pores directly on a molecular scale, the structure of AMP-induced pores and the exact sequence of steps leading to their formation remain uncertain. Hence, these questions have been investigated via molecular modelling. In this article, we review computational studies of AMP pore formation using all-atom, coarse-grained, and implicit solvent models; evaluate the results obtained and suggest future research directions to further elucidate the pore formation mechanism of AMPs...
August 5, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28627871/the-sulfur-linked-analog-of-o-glcnac-s-glcnac-is-an-enzymatically-stable-and-a-reasonable-structural-surrogate-for-o-glcnac-at-the-peptide-and-protein-levels
#14
Cesar A De Leon, Paul M Levine, Timothy W Craven, Matthew R Pratt
Synthetic proteins bearing site-specific posttranslational modifications have revolutionized our understanding of their biological functions in vitro and in vivo. One such modification, O-GlcNAcylation, is the dynamic addition of β-N-acetyl glucosamine to the side-chains of serine and threonine residues of proteins. Yet, our understanding of the site-specific impact of O-GlcNAcylation remains difficult to evaluate in vivo due to the potential for enzymatic removal by endogenous O-GlcNAcase (OGA). Thioglycosides are generally perceived to be enzymatically stable structural mimics of O-GlcNAc; however, in vitro experiments small-molecule GlcNAc thioglycosides have demonstrated that OGA can hydrolyze these linkages, indicating thatS-linked-β-N-acetyl glucosamine (S-GlcNAc) on peptides or proteins may not be completely stable...
June 19, 2017: Biochemistry
https://www.readbyqxmd.com/read/28627775/ensemble-architecture-for-prediction-of-enzyme-ligand-binding-residues-using-evolutionary-information
#15
Priyadarshini P Pai, Rohit Kadam Dattatreya, Sukanta Mondal
Enzyme interactions with ligands are crucial for various biochemical reactions governing life. Over many years attempts to identify these residues for biotechnological manipulations have been made using experimental and computational techniques. The computational approaches have gathered impetus with the accruing availability of sequence and structure information, broadly classified into template-based and de novo methods. One of the predominant de novo methods using sequence information involves application of biological properties for supervised machine learning...
June 19, 2017: Molecular Informatics
https://www.readbyqxmd.com/read/28625737/insights-into-the-conformations-and-dynamics-of-intrinsically-disordered-proteins-using-single-molecule-fluorescence
#16
REVIEW
Gregory-Neal Gomes, Claudiu C Gradinaru
Most proteins are not static structures, but many of them are found in a dynamic state, exchanging conformations on various time scales as a key aspect of their biological function. An entire spectrum of structural disorder exists in proteins and obtaining a satisfactory quantitative description of these states remains a challenge. Single-molecule fluorescence spectroscopy techniques are uniquely suited for this task, by measuring conformations without ensemble averaging and kinetics without interference from asynchronous processes...
June 15, 2017: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/28624880/wing-cross-veins-an-efficient-biomechanical-strategy-to-mitigate-fatigue-failure-of-insect-cuticle
#17
H Rajabi, P Bazargan, A Pourbabaei, Sh Eshghi, A Darvizeh, S N Gorb, D Taylor, J-H Dirks
Locust wings are able to sustain millions of cycles of mechanical loading during the lifetime of the insect. Previous studies have shown that cross veins play an important role in delaying crack propagation in the wings. Do cross veins thus also influence the fatigue behaviour of the wings? Since many important fatigue parameters are not experimentally accessible in a small biological sample, here we use the finite element (FE) method to address this question numerically. Our FE model combines a linear elastic material model, a direct cyclic approach and the Paris law and shows results which are in very good agreement with previously reported experimental data...
June 17, 2017: Biomechanics and Modeling in Mechanobiology
https://www.readbyqxmd.com/read/28620761/medicinal-chemistry-of-%C3%AF-1-receptor-ligands-pharmacophore-models-synthesis-structure-affinity-relationships-and-pharmacological-applications
#18
Frauke Weber, Bernhard Wünsch
In the first part of this chapter, we summarize the various pharmacophore models for σ1 receptor ligands. Common to all of them is a basic amine flanked by two hydrophobic regions, representing the pharmacophoric elements. The development of computer-based models like the 3D homology model is described as well as the first crystal structure of the σ1 receptor. The second part focuses on the synthesis and biological properties of different σ1 receptor ligands, identified as 1-9. Monocyclic piperazines 1 and bicyclic piperazines 2 and 3 were developed as cytotoxic compounds, thus the IC50 values of cell growth and survival inhibition studies are given for all derivatives...
June 16, 2017: Handbook of Experimental Pharmacology
https://www.readbyqxmd.com/read/28620045/fundamental-principles-of-vascular-network-topology
#19
REVIEW
Veronika S Kopylova, Stanislav E Boronovskiy, Yaroslav R Nartsissov
The vascular system is arguably the most important biological system in many organisms. Although the general principles of its architecture are simple, the growth of blood vessels occurs under extreme physical conditions. Optimization is an important aspect of the development of computational models of the vascular branching structures. This review surveys the approaches used to optimize the topology and estimate different geometrical parameters of the vascular system. The review is focused on optimizations using complex cost functions based on the minimum total energy principle and the relationship between the laws of growth and precise vascular network topology...
June 15, 2017: Biochemical Society Transactions
https://www.readbyqxmd.com/read/28617832/a-tale-inspired-computational-screen-for-proteins-that-contain-approximate-tandem-repeats
#20
Malgorzata Perycz, Joanna Krwawicz, Matthias Bochtler
TAL (transcription activator-like) effectors (TALEs) are bacterial proteins that are secreted from bacteria to plant cells to act as transcriptional activators. TALEs and related proteins (RipTALs, BurrH, MOrTL1 and MOrTL2) contain approximate tandem repeats that differ in conserved positions that define specificity. Using PERL, we screened ~47 million protein sequences for TALE-like architecture characterized by approximate tandem repeats (between 30 and 43 amino acids in length) and sequence variability in conserved positions, without requiring sequence similarity to TALEs...
2017: PloS One
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