in silico prediction
In silico prediction of Gallibacterium anatis pan-immunogens
... in silico prediction of the protective potential was carried out based on a protein property prediction ...in silico screening, we have narrowed down the pan-proteome of ...
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Improving in Silico Prediction of Epitope Vaccine Candidates by Union and Intersection of Single Predictors
... in silico prediction of peptide binding affinities to MHC proteins is a very important first step in the process of epi- tope-based vaccine design and ...binding prediction servers were combined in ...
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In-silico prediction and observations of nuclear matrix attachment
... A-priori testing of SMARTest using sequences containing known MARs revealed that relative to 37 experimentally verified MARs in 310 kb of DNA, SMARTest correctly predicted 14 and mispredicted a further 9 sequences. If ...
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In silico prediction of active RNA genes in legumes
... I further developed a computational pipeline for predicting miRNAs and ap- plied it to putative ncRNA transcripts which I have identified, as well as intronic regions of Medicago truncatula and L. japonicus. This has led ...
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In silico prediction of novel therapeutic targets using gene–disease association data
... In this study, we take advantage of the Open Targets platform using a semi-supervised approach on positive and unlabelled data to assess whether the disease association evidence that it [r] ...
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In silico Prediction and Docking of Tertiary Structure of LuxI, an Inducer Synthase of Vibrio fischeri
... The QMEAN6 scoring function consists of a linear combination of six descriptors. Two distance- dependent interaction potentials of mean force based on Cβ atoms and all atom types are used to assess long range ...
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In silico prediction of D HSCDK2 structure and its docking study with Flavopiridol analogues
... In order to develop a specific and effective anti cancer drug, various analogues of flavopiridol have been taken from Pubchem database and docking studies were performed to identify best suited analogue. Homology ...
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In silico prediction of metal binding sites in medicinal plants for phytoremediation
... in silico analysis high specificity of motif designed for the ions of nickel, lead, molybdenum, manganese, cadmium, zinc, iron, cobalt and xenobiotic compounds by using UniprotKB/ Swissprot and Uniprot KB/ TrEMBL ...
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In silico prediction of protein protein interactions in human macrophages
... We then verified the specificity of the contextualized macrophage interactome composed of 30,182 interactions by showing that it is enriched in proteins related to the immune response, e[r] ...
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Two novel antimicrobial and anticancer peptides prediction from Vibrio sp. strain ES25
... Proteins from microbes are a large source of potential raw material for novel pharmaceuticals. Endophytic bacteria associated with algae associated have been shown to be particularly promising candidates. In a previous ...
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Estimated prevalence of potentially damaging variants in the leptin gene
... Results: The ExAC database encompasses exome sequencing data from 60,706 individuals. We searched for listed leptin variants and identified 36 missense, 1 in-frame deletion, and 3 loss-of-function variants. The ...
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Toward a clinical diagnostic pipeline for SPINK1 intronic variants
... the prediction of SpliceSiteFinder-like was correct from the standpoint that ...splicing prediction programs analogous to that seen in missense variant prediction programs: “The main issue lies ...
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Ataxia-telangiectasia-like disorder in a family deficient for MRE11A, caused by a MRE11 variant
... In silico analysis predicted the MRE11 variant to be possibly disease causing, presumably identified as potentially affecting splicing (MutationTaster, ...In silico prediction with the SpliceAid2 ...in ...
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LIGAND-BASED VIRTUAL SCREENING AND ADME-TOX GUIDED APPROACH TO IDENTIFY NATURAL COMPOUNDS FROM CONYZA SUMATRENSIS (RETZ.) E.H.WALKER AS COX-2 INHIBITORS
... In silico prediction of compounds 1 and 2 could be correlated with the observed in vitro anti-inflammatory potential while the prediction of compound 3 was inversely correlated with its in vitro ...
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Assessment of an in silico mechanistic model for proarrhythmia risk prediction under the CiPA initiative
... one validation drug and are between drugs of different risk categories. The fraction of correctly predicted pairwise rankings among the 211 pairs gives an estimation of the overall ranking performance across all three ...
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ANTIBACTERIAL ACTIVITY OF METHANOL LEAVES EXTRACT OF ANDROGRAPHIS PANICULATA AND PASS PREDICTION FOR ANTIBACTERIAL EFFECT AND ADME/T PROPERTY ANALYSIS OF ITS ISOLATED COMPOUNDS
... in silico PASS prediction used for six phytoconstituents namely 5-hydroxy-7,8-dimethoxyflavone, 14-acetylandrographolide, 14-deoxyandrographolide, andrograpanin, isoandrographolide, and neoandrographolide ...
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Evaluation of in silico approach for prediction of presence of opioid peptides in wheat
... The identified peptides were then assayed for opioid activity by cAMP assay for confirmation 103.. of their bioactivity.[r] ...
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IN SILICO ADME, BIOACTIVITY AND TOXICITY PREDICTION OF SOME SELECTED ANTI-EPILEPTIC AGENTS
... MolinspirationCheminformatics offers broad range of tools supporting molecule manipulation and processing, including SMILES and SDfile conversion, normalization of molecules, generation of tautomers, molecule ...
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Prediction of CTL epitope, in silico modeling and functional analysis of cytolethal distending toxin (CDT) protein of Campylobacter jejuni
... The 3D protein structure predicted by Modeller was used as an input, each residue in the query protein will be given a score according to its neighborhood residues information. Higher score corresponds to higher prob- ...
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The design of high affinity human PD-1 mutants by using molecular dynamics simulations (MD)
... in silico approach with in vitro binding experiments such as surface plasma resonance ...in silico approach serves to predict a list of the single site mutants, and then the predicted mutants are subject to ...
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