Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: EC:3.4.21.6 (thromboplastin)
 13,278 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

A two-step, fully automatic virtual screening procedure consisting of flexible docking followed by activity prediction by COMparative BINding Energy (COMBINE) analysis is presented. This novel approach has been successfully applied, as an example with medicinal chemistry interest, to a recently reported series of 133 factor Xa (fXa)(1) inhibitors whose activities encompass 4 orders of magnitude. The docking algorithm is linked to the COMBINE analysis program and used to derive independent regression models of the 133 inhibitors docked within three different fXa structures (PDB entries 1fjs, 1f0r, and 1xka), so as to explore the effect of receptor conformation on the overall results. Reliable docking conformations and predictive regression models requiring eight latent variables could be derived for two of the fXa structures, with the best model achieving a Q(2) of 0.63 and a standard deviation of errors of prediction (SDEP) of 0.51 (leave-one-out). The two-step procedure was then employed to screen a designed virtual library of 112 ligands, containing both active and inactive compounds. While docking energies alone could show a good performance for selecting hits, including structurally diverse ones, inclusion of COMBINE analysis regression models provided improved rankings for the identification of structurally related molecules in external sets. In our best case, a recognition rate of approximately 80% of known binders at approximately 15% false positives rate was achieved, corresponding to an enrichment factor of approximately 450% over random.
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PMID:Virtual screening with flexible docking and COMBINE-based models. Application to a series of factor Xa inhibitors. 1476 Nov 83

In order to identify novel chemical classes of factor Xa inhibitors, five scoring functions (FlexX, DOCK, GOLD, ChemScore and PMF) were engaged to evaluate the multiple docking poses generated by FlexX. The compound collection was composed of confirmed potent factor Xa inhibitors and a subset of the LeadQuest screening compound library. Except for PMF the other four scoring functions succeeded in reproducing the crystal complex (PDB code: 1FAX). During virtual screening the highest hit rate (80%) was demonstrated by FlexX at an energy cutoff of -40 kJ/mol, which is about 40-fold over random screening (2.06%). Limited results suggest that presenting more poses of a single molecule to the scoring functions could deteriorate their enrichment factors. A series of promising scaffolds with favorable binding scores was retrieved from LeadQuest. Consensus scoring by pair-wise intersection failed to enrich the hit rate yielded by single scorings (i.e. FlexX). We note that reported successes of consensus scoring in hit rate enrichment could be artificial because their comparisons were based on a selected subset of single scoring and a markedly reduced subset of double or triple scoring. The findings presented in this report are based upon a single biological system and support further studies.
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PMID:Evaluation and application of multiple scoring functions for a virtual screening experiment. 1559 60

In this study, oyster (Crassostrea gigas) proteins were digested under in vitro gastrointestinal conditions to screen potential antithrombotic peptides. The sequences of the released peptides in the intestinal digestion phase were identified by ultra-performance liquid chromatography coupled to quadrupole time-of-flight MS (UPLC-Q-TOF-MS/MS). According to the antithrombotic activity analysis, the inhibitory ratio of oyster peptides showed an increasing trend, reaching up to 35.80% for a digestion period of 4 h. The APTT (activated partial thromboplastin time) and TT (thromboplastin time) were increased by oyster peptides for human serum in vitro. Oyster peptides showed a competitive inhibition effect on thrombin, based on Lineweaver-Burk plot analysis. Molecular docking between the antithrombotic peptides and thrombin (PDB: ) was conducted using Discovery Studio 2017. Potential inhibitors against thrombin and the mechanism of antithrombotic activity were predicted using the algorithm of CDOCKER. There are fourteen potential antithrombotic peptides, whose affinity with thrombin is higher than that of hirudin, as indicated by the "-CDOCKER energy" score (181.491). Peptide LSKEEIEEAKEV is similar in sequence to thrombin inhibitors. The binding sites of potential antithrombotic peptides against thrombin at the S1 pocket were compared with hirudin variant-2 (GDFEEIPEEYLQ). In addition, the peptides containing the RG/RGD sequence were identified, which can be hydrolyzed by thrombin as a substrate. Consequently, the oyster peptides released in simulated gastrointestinal digestion probably inhibit thrombin in two ways, not only as the inhibitor against the active site, but also as the substrate of thrombin. These results maybe be attributed to the potentially strong antithrombotic activity in the human digestive system.
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PMID:Identification and molecular mechanism of antithrombotic peptides from oyster proteins released in simulated gastro-intestinal digestion. 3140 68