Letteratura scientifica selezionata sul tema "Structural bio-Informatics"
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Articoli di riviste sul tema "Structural bio-Informatics":
Et. al., Ravi Kumar A,. "A Review on Design and Development of Performance Evaluation Model for Bio-Informatics Data Using Hadoop". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, n. 2 (10 aprile 2021): 1546–63. http://dx.doi.org/10.17762/turcomat.v12i2.1432.
Lakhrissi, Younes, Mohamed Rbaa, Burak Tuzun, Abdelhadi Hichar, El Hassane Anouar, Khadija Ounine, Faisal Almalki, Taibi Ben Hadda, Abdelkader Zarrouk e Brahim Lakhrissi. "Synthesis, structural confirmation, antibacterial properties and bio-informatics computational analyses of new pyrrole based on 8-hydroxyquinoline". Journal of Molecular Structure 1259 (luglio 2022): 132683. http://dx.doi.org/10.1016/j.molstruc.2022.132683.
Shimizu, Nobutaka, Shinya Saijyo, Hiromasa Ota, Yasuko Nagatani, Ai Kamijyo, Takeharu Mori, Takashi Kosuge e Noriyuki Igarashi. "3P015 Bio-SAXS in the Platform for Drug Discovery, Informatics, and Structural Life Science (PDIS)(01A. Protein: Structure,Poster)". Seibutsu Butsuri 53, supplement1-2 (2013): S214. http://dx.doi.org/10.2142/biophys.53.s214_3.
George Priya Doss, C., C. Sudandiradoss, R. Rajasekaran, Rituraj Purohit, K. Ramanathan e Rao Sethumadhavan. "Identification and structural comparison of deleterious mutations in nsSNPs of ABL1 gene in chronic myeloid leukemia: A bio-informatics study". Journal of Biomedical Informatics 41, n. 4 (agosto 2008): 607–12. http://dx.doi.org/10.1016/j.jbi.2007.12.004.
Rahman, Monzilur, e Md Masud Parvege. "In silico structural analysis of Hantaan virus glycoprotein G2 and conserved epitope prediction for vaccine development". Journal of Applied Virology 3, n. 3 (19 settembre 2014): 62. http://dx.doi.org/10.21092/jav.v3i3.38.
Kumar, Archana, T. B. Sridharn e Kamini A. Rao. "Role of Seminal Plasma Proteins in Effective Zygote Formation- A Success Road to Pregnancy". Protein & Peptide Letters 26, n. 4 (28 marzo 2019): 238–50. http://dx.doi.org/10.2174/0929866526666190208112152.
Gheraibia, Youcef, Abdelouahab Moussaoui, Youcef Djenouri, Sohag Kabir, Peng-Yeng Yin e Smaine Mazouzi. "Penguin Search Optimisation Algorithm for Finding Optimal Spaced Seeds". International Journal of Software Science and Computational Intelligence 7, n. 2 (aprile 2015): 85–99. http://dx.doi.org/10.4018/ijssci.2015040105.
Javed, Ambreen, Gulshan Ara Trali, Hassan Burair Abbas e Alia Sadiq. "IN SILICO CHARACTERIZATION OF HUMAN INTERFERON ALPHA/BETA RECEPTOR 2 (ISOFORM A, B AND C) PROTEIN". PAFMJ 71, n. 6 (31 dicembre 2021): 2091–94. http://dx.doi.org/10.51253/pafmj.v71i6.6571.
Lakhrissi, Younes, Mohamed Rbaa, Burak Tuzun, Abdelhadi Hichar, El Hassane Anouar, Khadija Ounine, Faisal Almalki, Taibi Ben Hadda, Abdelkader Zarrouk e Brahim Lakhrissi. "Corrigendum to ‘Synthesis, Structural confirmation, Antibacterial Properties and Bio-Informatics Computational Analyses of New Pyrrole Based on 8-Hydroxyquinoline’ Journal of Molecular Structure 1259 (2022) 132683". Journal of Molecular Structure 1280 (maggio 2023): 134988. http://dx.doi.org/10.1016/j.molstruc.2023.134988.
Khuntia, Bharat Krushna, Vandna Sharma, Sahar Qazi, Soumi Das, Shruti Sharma, Khalid Raza e Gautam Sharma. "Ayurvedic Medicinal Plants Against COVID-19: An In Silico Analysis". Natural Product Communications 16, n. 11 (novembre 2021): 1934578X2110567. http://dx.doi.org/10.1177/1934578x211056753.
Tesi sul tema "Structural bio-Informatics":
Moniot, Antoine. "Modélisation 3D de complexes ARN-protéine par assemblage combinatoire de fragments structuraux". Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0339.
The characterization of RNA-protein complexes at the atomic scale allows us to better understand the biological functions of these complexes, and to define therapeutic targets to regulate the biological phenomena in which they participate. The aim of this thesis is to develop tools to predict the structure of a protein-RNA complex when a 3D structure of the protein is known as well as the secondary structure of the interacting RNA part. We focus on the case where RNA is mainly in single-stranded form (unpaired nucleotides), raising the difficulty of its flexibility.A docking method developed in the CAPSID team is based on the use of structural fragments of single-stranded RNA. The work of this thesis builds on this method to perform docking of RNA secondary structures. We first evaluated the contribution of a loop closure constraint for docking the single-stranded loop of a hairpin structure, and then addressed the docking of the double-stranded elements of these structures, paving the way for the assembly of the entire complex.This fragment-based docking method is dependent on the use of structural fragment libraries. These libraries are composed of prototypes that represent the conformational landscape experimentally observed in protein-bound RNA structures. A large part of the thesis work consisted in the creation and optimization of such fragment libraries.We created the ProtNAff tool that allows to extract subsets of structures from the PDB and to create libraries of nucleic acid fragments, following complex combinations of criteria. It has been designed to exceed our needs, so that it can be adopted by the community for the treatment of various problems.We have developed a new approach for inferring prototypes of a set of conformations. The set of prototypes must satisfy two contradictory constraints: to be representative (in the sense of the metric) and of cardinality as small as possible. The problem thus reduces to that of inferring an epsilon-network of minimal cardinality. We treat it in all its generality by discussing the spaces on which the data are defined. Our method is based on hierarchical agglomerative classification with as linkage the radius of the minimum balls enclosing the points of each subset. Applied to our libraries, this approach reduced their size by a factor of 4, and our docking computation time by the same amount, while improving their reliability.Finally, to overcome the problem posed by the pairwise superimposition of structures, we used a representation of the fragments in internal coordinates, allowing to reduce further the computation time for the creation of libraries
Taveneau, Cyntia. "Modélisation, purification et caractérisation des modules et domaines de la PI4KA humaine". Thesis, Paris 11, 2015. http://www.theses.fr/2015PA114827/document.
The eukaryotic lipid kinase phosphatidylinositol 4-kinase III alpha is a ubiquitous enzyme that synthesizes the plasma membrane pool of phosphatidylinositol 4-phosphate. This important phosphoinositide has key roles in different signalization pathways, vesicular traffic and cellular compartment identity. Moreover, PI4KA is an essential factor for hepatitis C virus (HCV) replication. Indeed, PI4KA's interaction with the non-structural HCV protein NS5A at the endoplasmic reticulum membrane leads to formation of a “membranous web” giving to the membrane the signature necessary to the formation of viral replication machineryPI4KA is a large protein (2102 residues, 240 kDa for human PI4KA) with the kinase domain making up the ca 400 C-terminal residues preceded by an Armadillo domain for which no function is known. There is essentially no structural information about the 1500 N-terminal residues and no clue as to the function of most of this region of PI4KA.We use computational methods in order to delineate fragments of human PI4KA amenable to soluble production in Escherichia coli and insect cells. We clone and express these fragments and evaluate the soluble fraction of each construction. Our results further suggest that PI4KA can be described as a two-module protein. The N-terminal module (1100 residues), is composed of two domains which one is an alpha solenoid. Their potential arrangement was defined by small angle X-ray scattering (SAXS).The second module (1000 residues), the C-terminal module, is the core enzyme. Its analysis leads us to identify similarities with the serine/threonine kinases PIKKs, as mTor, homologous to phosphatidylinositol-3-kinases. Three putative domains were delineate at the beginning of this C-terminal module. We name the DI, DII and DIII. Our collaborators have shown their necessity to the kinase activity of PI4KA and the HCV replication. DI domain was characterized and allowed the validation of a new parametrization of the N, N-dimethyl-dodecylamine oxide molecule (LDAO) for simulation of molecular dynamics. Finally, the full-length human PI4KA was expressed in insect cells, purified and a first interaction experiment with membranes have been initiated
Capitoli di libri sul tema "Structural bio-Informatics":
Zhou, Linfei, Elisabeth Georgii, Claudia Plant e Christian Böhm. "Covariate-Related Structure Extraction from Paired Data". In Information Technology in Bio- and Medical Informatics, 151–62. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43949-5_11.
Lu, Jing, Alan Hales e David Rew. "Modelling of Cancer Patient Records: A Structured Approach to Data Mining and Visual Analytics". In Information Technology in Bio- and Medical Informatics, 30–51. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64265-9_4.
Rudolfova, Ivana, Jaroslav Zendulka e Matej Lexa. "Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments". In Information Technology in Bio- and Medical Informatics, ITBAM 2010, 94–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15020-3_9.
S., Karthigai Selvi. "Structural and Functional Data Processing in Bio-Computing and Deep Learning". In Research Anthology on Bioinformatics, Genomics, and Computational Biology, 1453–66. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-3026-5.ch066.
S., Karthigai Selvi. "Structural and Functional Data Processing in Bio-Computing and Deep Learning". In Structural and Functional Aspects of Biocomputing Systems for Data Processing, 198–215. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6523-3.ch010.
Raghupathi, Wullianallur, e Sridhar Nerur. "The Intellectual Structure of Health and Medical Informatics". In Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs, 1–16. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1755-1.ch001.
YAMATO, ICHIRO. "FROM STRUCTURE AND FUNCTION OF PROTEINS TOWARDIN SILICOBIOLOGY". In Quantum Bio-Informatics V, 473–85. WORLD SCIENTIFIC, 2013. http://dx.doi.org/10.1142/9789814460026_0040.
HARA, TOSHIHIDE, KEIKO SATO e MASANORI OHYA. "PROTEIN SEQUENCE ALIGNMENT TAKING THE STRUCTURE OF PEPTIDE BOND". In Quantum Bio-Informatics V, 181–85. WORLD SCIENTIFIC, 2013. http://dx.doi.org/10.1142/9789814460026_0015.
ORYU, SHINSHO. "LONG-RANGE PROPERTY IN TIME-DEPENDENT INTERACTION WITH THREE-BODY STRUCTURE AND NEW ASPECT". In Quantum Bio-Informatics V, 253–69. WORLD SCIENTIFIC, 2013. http://dx.doi.org/10.1142/9789814460026_0022.
SUZUKI, TOMONORI, e SATORU MIYAZAKI. "THE PREDICTION OF BOTULINUM TOXIN STRUCTURE BASED ON IN SILICO AND IN VITRO ANALYSIS". In Quantum Bio-Informatics IV, 461–67. WORLD SCIENTIFIC, 2011. http://dx.doi.org/10.1142/9789814343763_0036.
Atti di convegni sul tema "Structural bio-Informatics":
SAHA, ACHINTYA, e TABASSUM HOSSAIN. "Molecular modeling studies for exploring structural requirement of acetylcholinesterase inhibitors". In Fourth International Conference on Advances in Bio-Informatics and Environmental Engineering - ICABEE 2016. Institute of Research Engineers and Doctors, 2016. http://dx.doi.org/10.15224/978-1-63248-100-9-17.
ZUNIGA, ALEJANDRO, ARYANE TOFANELLO, CARLOS E, ERICA G, FERNANDO C, ISELI L e JULIANA C. "Self assembled complexes of multibranched gold nanoparticles with porphyrins used in photodynamic therapy Spectral and structural characterization". In Second International Conference on Advances in Bio-Informatics and Environmental Engineering - ICABEE 2015. Institute of Research Engineers and Doctors, 2015. http://dx.doi.org/10.15224/978-1-63248-043-9-102.
Mukherjee, Sudipta, Somnath Chakraborty, Deven Diwakar, Apurba Laha, Udayan Ganguly e Swaroop Ganguly. "Investigation of Structural Parameter Variation on Extended Gate TFET for Bio-Sensor Applications". In 2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI). IEEE, 2020. http://dx.doi.org/10.23919/eecsi50503.2020.9251884.
SUZUKI, TOMONORI, e SATORU MIYAZAKI. "IN SILICO ANALYSIS FOR THE STUDY OF BOTULINUM TOXIN STRUCTURE". In From Quantum Information to Bio-Informatics. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814304061_0039.
CAKAN, BANU, SAIT BASARAN, SEVIM AKYUZ e TANIL AKYUZ. "Protein Structure Predictions of historical silk textiles by ATR FTIR spectroscopy". In Third International Conference on Advances in Bio-Informatics, Bio-Technology and Environmental Engineering- ABBE 2015. Institute of Research Engineers and Doctors, 2015. http://dx.doi.org/10.15224/978-1-63248-060-6-09.
Pisal, Amit, e Rabinder Henry. "Thermo-Optic switch: Device structure and design". In 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB). IEEE, 2016. http://dx.doi.org/10.1109/aeeicb.2016.7538293.
Mishra, Loveneet, Sampath Kumar V e Sangeeta Mangesh. "Design and implementation of low power SRAM structure using nanometer scale". In 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB). IEEE, 2016. http://dx.doi.org/10.1109/aeeicb.2016.7538407.
Ramesh, M., V. Rajya Lakshmi e P. Mallikarjuna Rao. "Investigation on UWB kite shape textile antenna with Defective Ground Structure". In 2017 Third International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB). IEEE, 2017. http://dx.doi.org/10.1109/aeeicb.2017.7972374.
Arabi, Punal M., Prathibha T.P, Vamsha Deepa N e AbhikRaj Subedi. "Identifying honeycombing structure in HRCT lung images by high intensity pixel pattern". In 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB). IEEE, 2016. http://dx.doi.org/10.1109/aeeicb.2016.7538336.
Rameswarudu, E. Sarva, e P. V. Sridevi. "Bandwidth enhancement defected ground structure microstrip patch antenna for K and Ka band applications". In 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB). IEEE, 2016. http://dx.doi.org/10.1109/aeeicb.2016.7538318.