02659nas a2200277   4500008004100000022001400041245011000055210006900165260011100234300001200345490000700357520164400364653000902008653001202017653002202029653003602051653002602087653002202113653000902135100002202144700001902166700002902185700002202214700002502236856012002261       2016                        eng d  a1386-207300aVirtual screening techniques to probe the antimalarial activity of some traditionally used phytochemicals0 aVirtual screening techniques to probe the antimalarial activity   aEXECUTIVE STE Y-2, PO BOX 7917, SAIF ZONE, 1200 BR SHARJAH, U ARAB EMIRATESbBENTHAM SCIENCE PUBL LTDcJUL  a572-5910 v193 a<p>Malaria parasites show resistance to most of the antimalarial drugs and hence developing antimalarials which can act on multitargets rather than a single target will be a promising strategy of drug design. Here we report a new approach by which virtual screening of 292 unique phytochemicals present in 72 traditionally important herbs is used for finding out inhibitors of plasmepsin-2 and falcipain-2 for antimalarial activity against P. falciparum. Initial screenings of the selected molecules by Random Forest algorithm model of Weka using the bioassay datasets AID 504850 and AID 2302 screened 120 out of the total 292 phytochemicals to be active against the targets. Toxtree scan cautioned 21 compounds to be either carcinogenic or mutagenic and were thus removed for further analysis. Out of the remaining 99 compounds, only 46 compounds offered drug-likeness as per the `rule of five' criteria. Out of ten antimalarial drug targets, only two target proteins such as 3BPF and 3PNR of falcipain-2 and 1PFZ and 2BJU of plasmepsin-2 are selected as targets. The potential binding of the selected 46 compounds to the active sites of these four targets was analyzed using MOE software. The docked conformations and the interactions with the binding pocket residues of the target proteins were understood by `Ligplot' analysis. It has been found that 8 compounds are dual inhibitors of falcipain-2 and plasmepsin-2, with the best binding energies. Compound 117 (6aR, 12aS)-12a-Hydroxy-9-methoxy-2,3-dimethylenedioxy-8-prenylrotenone (Usaratenoid C) present in the plant Millettia usaramensis showed maximum molecular docking score.</p>10aADME10amalaria10aMolecular docking10amolecular operating environment10aPlasmodium falciparum10avirtual screening10aweka1 aShibi, Indira, G.1 aAswathy, Lilly1 aJisha, Radhakrishnan, S.1 aMasand, Vijay, H.1 aGajbhiye, Jayant, M.  uhttps://library.ncl.res.in/content/virtual-screening-techniques-probe-antimalarial-activity-some-traditionally-used02107nas a2200181   4500008004100000245013800041210006900179260000800248300001400256490000700270520141800277100001901695700001801714700002201732700002501754700002201779856012401801       2017                        eng d00aComputational strategies to explore antimalarial thiazine alkaloid lead compounds based on an australian marine sponge plakortis lita0 aComputational strategies to explore antimalarial thiazine alkalo  cAUG  a2407-24290 v353 aIn this work, an attempt was made to propose new leads based on the natural scaffold Thiaplakortone-A active against malaria. The 2D QSAR studies suggested that three descriptors correlate with the anti-malarial activity with an R2 value of 0.814. Robustness, reliability and predictive power of the model were tested by internal validation, external validation, Y-scrambling and Applicability domain analysis. HQSAR studies were carried out as an additional tool to find the sub-structural fingerprints. The CoMFA and CoMSIA models gave Q2 values of 0.813 and 0.647, and R2ncv values of 0.994 and 0.984, respectively. Using the 2D-QSAR equation, the activity values of the seven modified compounds were calculated and it was found that three molecules showed good anti-malarial activity. Molecular docking of the 42 Thiaplakortone-A derivatives with P. falciparum calcium-dependent protein kinase 1 (PfCDPK1) was carried out to find out protein-ligand interactions. Data mining of the bioassay dataset AID: 504850 using the classifier based on Random Forest (RF) of Weka suggested that all of the eight molecules selected and three out of the seven virtual molecules were anti-malarial active. Both the virtual molecules and drug molecules were docked with CYP3A4, indicating that the virtual molecules could metabolize easily. Toxicity studies using Osiris shows that three molecules showed no toxic characters.1 aLilly, Aswathy1 aJisha, R., S.1 aMasand, Vijay, H.1 aGajbhiye, Jayant, M.1 aShibi, Indira, G.  uhttps://library.ncl.res.in/content/computational-strategies-explore-antimalarial-thiazine-alkaloid-lead-compounds-based