Ligand Based Virtual Screening Scoring & Selection
Fragment reweighting in ligand-based virtual screening
... searching. Ligand-based virtual screening based on sub-fragments is also reviewed in this ...feature selection algorithm to select the important fragments, or using the idea of ...
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An enhancement of bayesian inference network for ligand-based virtual screening using features selection
... BIN model based on feature selection: This model of BIN is based on using subset of molecule’s features. To achieve this objective, two steps were used. First, we prepare training data that consists ...
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Consensus queries in ligand-based virtual screening experiments
... This study measures the performance and speed of several ways to combine the knowledge about known actives. We investigate the effect of the fingerprint choice, the number of actives and the method used to combine ...
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Evaluation of machine-learning methods for ligand-based virtual screening
... three selection methods were again used for this purpose; in each case, a total of 200 inactive molecules was selected from the MDDR database that did not belong to the activity class under ...third ...
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Ligand-based virtual screening interface between PyMOL and LiSiCA
... reference ligand and the target database, defining all of the LiSiCA’s options, loading previously completed projects and outputting a list of the highest scoring mole- cules that can be visualized in the ...
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Ligand-based virtual screening using binary kernel discrimination
... CONCLUSIONS In this paper we have discussed the application of a machine-learning technique, BKD, to the prediction of biological activity in virtual screening programmes. Our results suggest that BKD ...
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Application and Development of Computational Methods for Ligand-Based Virtual Screening
... feature selection methods to identify fingerprint features that were responsible for the recall of different com- pound ...feature selection, compare the search performance of unmodified and reduced ...
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Evaluation of machine-learning methods for ligand-based virtual screening
... random selection of molecules for biological screening would have identified just 1% of the ...for virtual screening purposes when sets of non-binary descriptors are available to characterise ...
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Ligand-based virtual screening using binary kernel discrimination
... technique based on atom environment fingerprints, information-gain-based feature selection, and a naïve Bayesian classifier ...[8]. Based on these comparisons (and on comparisons with two ...
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Open-source platform to benchmark fingerprints for ligand-based virtual screening
... The platform currently incorporates 88 targets from three publicly available collections of data sets: MUV, DUD and ChEMBL. The VS experiment is divided into three steps: scoring, validation and analysis. The ...
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Enhancing the effectiveness of ligand-based virtual screening using data fusion
... fingerprint- based similarity coefficients, but extensions are reported to encompass more than two similarity coefficients, to encompass multiple structure representations, and to encompass group ...different ...
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Condorcet and borda count fusion method for ligand-based virtual screening
... searching, Virtual screening, Similarity coefficients, Data fusion Background Virtual screening refers to the use of a computer-based method to process compounds from a library or data- ...
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Enhancing the effectiveness of ligand-based virtual screening using data fusion
... a scoring function; this second stage was repeated ten times for each hypothetical molecule and the resulting set of scores fused using one of three consensus rules (mean of the scores, mean of the ranks and a ...
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Virtual Ligand Screening for Structure-based Drug Design: Approaches and Progress
... the ligand in the protein binding pocket is carried out while the receptor and the ligand remain ...the ligand atoms onto the centers of the ...the ligand and the protein which allows ...
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Performance of machine-learning scoring functions in structure-based virtual screening
... Classical scoring functions have reached a plateau in their performance in virtual screening and binding affinity ...machine-learning scoring functions trained on protein-ligand ...
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Performance of machine-learning scoring functions in structure-based virtual screening
... Classical scoring functions have reached a plateau in their performance in virtual screening and binding affinity ...machine-learning scoring functions trained on protein-ligand ...
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Contact-based ligand-clustering approach for the identification of active compounds in virtual screening
... Keywords: scoring, docking, virtual screening, CAR, AuPosSOM Introduction The modeling of protein ligand interactions by computational molecular docking is a widely used approach for ...
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Discovery of a novel IKK-β inhibitor by ligand-based virtual screening techniques
... the ligand are positioned in hydrophobic pockets of the assumed binding site ( ...a ligand-based pharma- cophore model for IKK-b inhibitors, as well as the application of pharmacophore-based ...
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DOCKING AND SCORING IN VIRTUAL SCREENING FOR DRUG DISCOVERY: METHODS AND APPLICATIONS
... structure-based virtual screening actually ...computational screening is an enrichment process; that accurately calculated energies and scores are not necessarily required for meaningful ...
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Computational strategies to include protein flexibility in Ligand Docking and Virtual Screening
... conformational selection 7 emerged to explain the intricate biomolecular recognition ...was based on the following postulates: ―a) a precise orientation of catalytic groups is required for enzyme action; b) ...
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