Computational Identification
Computational identification of surrogate genes for prostate cancer phases using machine learning and molecular network analysis
... Many efforts have been devoted to revealing the molecular mechanisms underlying the disease progression and/or identifying genetic/genomic surrogates for the tumor pheno- types. In most of the studies, the phenotype of a ...
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Computational Identification of Four Spliceosomal snRNAs from the Deep Branching Eukaryote Giardia intestinalis
... our identification of Giardia snRNA candidates demonstrates an efficient way of searching for novel non-coding RNAs by combining biological information with computational ...
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Computational Identification of Conserved microRNAs and Their Targets in Tea (Camellia sinensis)
... filing and polymorphism analysis [13]. The EST se- quencing projects have been enormously successful in the framework of many genome projects. The EST se- quences are being used intensely as a source of informa- tion for ...
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Computational identification of conserved haustorial-expressed genes in the grapevine powdery mildew fungus Erysiphe necator
... In order to gain a better understanding of how powdery mildew circumvents a plant’s basal defense, an experiment was designed to determine what genes are specifically expressed in the haustorium, RNA samples from whole ...
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Computational identification and analysis of Phytoconstituents inhibiting vital proteins in Mycobacterium tuberculosis
... The computational approach included the prediction of Molecular properties, bioactive scores, the analysis of primary and secondary structures of proteins and the binding interaction calculation using docking ...
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Computational identification of deleterious synonymous variants in human genomes using a feature-based approach
... a computational model, IDSV (Identification of Deleterious Synonymous Variants), which uses random forest (RF) to detect deleterious sSNVs in human ...
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Sarcocystis neurona Protein Kinases: Computational Identification, Evolutionary Analysis and Putative Inhibitor Docking
... The CMGCs, comprising of CDKs, MAPKs, GSKs, and CLKs coordinate a wide range of cellular functions in different species. For instance, members of the CDK subfamily are major coordinators of cell division in both mitosis ...
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Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information
... new computational method of the MPSite was developed, which predicts pS and pT residues of microbial phosphorylation from the protein ...useful computational resource to identify pS and pT sites in ...
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Computational Identification of Tumor Anatomic Location Associated with Survival in 2 Large Cohorts of Human Primary Glioblastomas
... MATERIALS AND METHODS: Preoperative T1 anatomic MR images of 384 patients with glioblastomas were obtained from 2 independent cohorts (n ⫽ 253 from the Stanford University Medical Center for training and n ⫽ 131 from The ...
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Systematic computational identification of prognostic cytogenetic markers in neuroblastoma
... NB patients. Our analyses revealed a number of chromo- somal bands that were frequently amplified or deleted in NB samples with significant associations at the prognos- tic level. Particularly, some bands (chr11q23, ...
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Computational identification of adaptive mutants using the VERT system
... The population state model offers the ability to automa- tically detect adaptive events within fluorescent micro- bial populations easily and without the need for user intervention. A variety of VERT experimental ...
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Computational Approach Involving Use of the Internal Transcribed Spacer 1 Region for Identification of Mycobacterium Species
... DNA extraction, target amplification, and sequencing. An inoculating loopful of mature culture on L-J medium was removed and subjected to DNA extraction. Genomic DNA was extracted from the isolates by the glass bead ...
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Computational Intelligence based Semantic Image Background Identification using Colour Texture Feature
... Image contents recognition and identification is still a challenging topic for researchers. Although, numerous researches are published every year, still the obtained results are not quite satisfactory. Studying ...
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Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation
... direct identification of CT nonlinear systems make use of a number of approaches for signal derivative estimation: delayed state-variable filters (Tsang & Billings, 1994), Kalman smoothing (Coca & ...
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Identification of AGO3-Associated miRNAs and Computational Prediction of Their Targets in the Green Alga Chlamydomonas reinhardtii
... While we identi fi ed 74 target transcripts that had perfect complementarity to the corresponding miRNAs from nucleotides 2 to 12 (encom- passing both the seed and catalytic regions; see [r] ...
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PathoScope 2.0: a complete computational framework for strain identification in environmental or clinical sequencing samples
... One possible limitation to the reference-based ap- proach used by PathoScope is that it relies on the gen- ome for each strain to be present in the library in order to achieve a precise identification. We note ...
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Identification of FDA approved drugs with activity against Lassa virus- A computational drug repositioning approach.
... components; computational and in-vitro studies. The computational study entails sequential screening of all FDA approved drugs (1491) against three protein targets; through structural- and ligand- based ...
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A computational method for identification of vaccine targets from protein regions of conserved human leukocyte antigen binding
... Traditionally, vaccine targets are selected from con- served regions in the genome of the pathogen in question, with the aim of conferring broad and lasting immunity. The first step is a variability analysis performed by ...
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ObasCId(-Tool): an ontologically based approach for concern identification and classification and its computational support
... concern identification and classification activities by dealing with the previous mentioned ...Concern Identification and Classifi- cation), that provides more appropriated resources (catalogs, heuristics, ...
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Computational analysis for identification of mosquitocidal compounds from Kalanchoe pinnata targeting the acetylcholine esterase of Culex quinquefasciatus
... was computational analysis of potential drugs by the process of molecular docking with important bioactive dock with target protein Acetylcholinesterase of Alpha amyrin, Beta amyrin, Benzene, Dioctyl phthalate, ...
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