Malabar Christian College
Malabar Christian College
Sreejith L.,National Institute of Technology Calicut |
Parathakkat S.,National Institute of Technology Calicut |
Nair S.M.,Malabar Christian College |
Kumar S.,M. S. University of Baroda |
And 3 more authors.
Journal of Physical Chemistry B | Year: 2011
A micelle-vesicle transition induced by n-octanol C8OH was observed in an aqueous cetyltrimethylammonium bromide (CTAB)/potassium bromide (KBr) system. This transition was investigated by viscosity, rheology, dynamic light scattering (DLS), and direct imaging technique, cryo-transmission electron microscopy (cryo-TEM). Viscometry shows that the system underwent several morphological transitions with the increase in concentration of C8OH (regions I-IV). At low octanol concentration (region I), DLS analysis showed an increase in the apparent hydrodynamic diameter of the micelles with the addition of C8OH which was supported by cryo-TEM and rheology. With further addition of C8OH, transition of the elongated micelles occurred to a viscoelastic fluid comprising entangled wormlike micelles (region II), for which rheological data can be described by the Maxwell model. Further, the wormlike micelles transform to vesicles at [C8OH] ≈ 0.020 M (region III). This transition and the consequent changes in the fluid response can be explained in terms of vesicle formation caused by further addition of C 8OH. Beyond this concentration (region IV), vesicles are the predominant microstructures in the system which shows unusual temperature response. © 2010 American Chemical Society.
Ranjith A.P.,University of Calicut |
Ranjith A.P.,Malabar Christian College |
Quicke D.L.J.,Chulalongkorn University |
Saleem U.K.A.,University of Calicut |
And 4 more authors.
PLoS ONE | Year: 2016
The vast majority of braconid wasps are parasitoids of other insects. Although a few cases of pure phytophagy (primary gall production and seed predation) are known, no previous entomophytophagous species (i.e. ones that display entomophagy and phytophagy sequentially), has been discovered among braconids. We describe the detailed biology and specialized larval morphology for the first confirmed entomophytophagous braconid species. Leaf galls on Garuga pinnata Roxb. (Burseraceae) in India, induced by the psyllid, Phacopteron lentiginosum Buckton (Hemiptera: Psylloidea, Phacopteronidae) were sampled throughout a period of several months and found to suffer a high level of attack by a new species Bracon garugaphagae Ranjith & Quicke which is here described and illustrated. The wasps oviposit singly into the galls without paralysing the psyllids. The larvae first attack psyllid nymphs which they seek out within the gall, kill them with a single bite and consume them. Unique dorsal abdominal tubercles, with eversible tips present on the abdominal segments of the larvae that are used to help maintain larval position while feeding, are illustrated. After consuming all available prey, the larvae continue feeding on gall tissue until mature enough to spin cocoons and pupate. The new species illustrates, for the first time, a possible intermediate stage in the evolution of pure phytophagy within the Braconidae. Interestingly, the two unrelated seed predator Bracon species are also associated with Burseraceae, perhaps indicating that this plant family is particularly suited as a food for braconine wasps. © 2016 Ranjith et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dhanaraj P.V.,Malabar Christian College |
Rajesh N.P.,SSN College of Engineering
Advanced Materials Research | Year: 2013
Nonlinear optical materials 2-aminopyridinium trifluoroacetate and bis(2- aminopyridinium) sulfate, were synthesized and single crystals were grown from aqueous solution employing the technique of controlled evaporation. The solubility and metastable zone width were found. The crystal structure was analyzed to reveal the molecular arrangements and the formation of hydrogen bonds in the crystal. High-resolution X-ray diffraction rocking curve measurements were performed to analyze the structural perfection of the grown crystals. Functional groups were identified and thermal behaviour and stability were studied. Mechanical and dielectric properties of crystals were analyzed. Optical studies reveal that both crystals have good transparency window. The nonlinear optical parameters of crystals were derived. © (2013) Trans Tech Publications, Switzerland.
Seal A.,Indiana University Bloomington |
Passi A.,Council of Scientific and Industrial Research |
Abdul Jaleel U.C.,Malabar Christian College |
Wild D.J.,Indiana University Bloomington |
Consortium O.S.D.D.,Council of Scientific and Industrial Research
Journal of Cheminformatics | Year: 2012
Experimental screening of chemical compounds for biological activity is a time consuming and expensive practice. In silico predictive models permit inexpensive, rapid "virtual screening" to prioritize selection of compounds for experimental testing. Both experimental and in silico screening can be used to test compounds for desirable or undesirable properties. Prior work on prediction of mutagenicity has primarily involved identification of toxicophores rather than whole-molecule predictive models. In this work, we examined a range of in silico predictive classification models for prediction of mutagenic properties of compounds, including methods such as J48 and SMO which have not previously been widely applied in cheminformatics. Results: The Bursi mutagenicity data set containing 4337 compounds (Set 1) and a Benchmark data set of 6512 compounds (Set 2) were taken as input data seta in this work. A third data set (Set 3) was prepared by joining up the previous two sets. Classification algorithms including Naïve Bayes, Random Forest, J48 and SMO with 10 fold cross-validation and default parameters were used for model generation on these data sets. Models built using the combined performed better than those developed from the Benchmark data set. Significantly, Random Forest outperformed other classifiers for all the data sets, especially for Set 3 with 89.27% accuracy, 89% precision and ROC of 95.3%. To validate the developed models two external data sets, AID1189 and AID1194, with mutagenicity data were tested showing 62% accuracy with 67% precision and 65% ROC area and 91% accuracy, 91% precision with 96.3% ROC area respectively. A Random Forest model was used the approved drugs from DrugBank and metabolites from the Zinc Database with True Positives rate almost 85% showing the robustness of the model. Conclusion: We have created a new mutagenicity benchmark data set with around 8,000 compounds. Our work shows that highly accurate predictive mutagenicity models can be built using machine learning methods based on chemical descriptors and trained using this set, and these models provide a complement to toxicophores based methods. Further, our work supports other recent literature in showing that Random Forest models generally outperform other comparable machine learning methods for this kind of application. © 2012 Seal et al.
Periwal V.,CSIR - Central Electrochemical Research Institute |
Rajappan J.K.,Malabar Christian College |
Jaleel A.U.C.,Malabar Christian College |
Scaria V.,CSIR - Central Electrochemical Research Institute
BMC Research Notes | Year: 2011
Background: Tuberculosis is a contagious disease caused by Mycobacterium tuberculosis (Mtb), affecting more than two billion people around the globe and is one of the major causes of morbidity and mortality in the developing world. Recent reports suggest that Mtb has been developing resistance to the widely used anti-tubercular drugs resulting in the emergence and spread of multi drug-resistant (MDR) and extensively drug-resistant (XDR) strains throughout the world. In view of this global epidemic, there is an urgent need to facilitate fast and efficient lead identification methodologies. Target based screening of large compound libraries has been widely used as a fast and efficient approach for lead identification, but is restricted by the knowledge about the target structure. Whole organism screens on the other hand are target-agnostic and have been now widely employed as an alternative for lead identification but they are limited by the time and cost involved in running the screens for large compound libraries. This could be possibly be circumvented by using computational approaches to prioritize molecules for screening programmes. Results: We utilized physicochemical properties of compounds to train four supervised classifiers (Nave Bayes, Random Forest, J48 and SMO) on three publicly available bioassay screens of Mtb inhibitors and validated the robustness of the predictive models using various statistical measures. Conclusions: This study is a comprehensive analysis of high-throughput bioassay data for anti-tubercular activity and the application of machine learning approaches to create target-agnostic predictive models for anti-tubercular agents. © 2011Jaleel et al; licensee BioMed Central Ltd.
Veena T.,Malabar Christian College |
Ranjith A.P.,University of Calicut |
Santhosh S.,Malabar Christian College |
Kishore L.,Malabar Christian College
Zootaxa | Year: 2014
The rarely collected Oriental genus Neoclarkinella Rema and Narendran, 1996 is reviewed. Four species, all from India, are recognized of which two are described as new, namely Neoclarkinella janakikkadensis sp. nov., and N.narendrani sp. nov. from Kerala, India. A key to the oriental species of the genus is provided along with a character state matrix. Copyright © 2014 Magnolia Press.
Jaleel U.C.A.,Malabar Christian College |
Rakhila M.,Malabar Christian College |
Parameswaran G.,University of Calicut
Advances in Physical Chemistry | Year: 2010
Computational tools, specifically molecular mechanical force field (MM+) and semiempirical (PM3) and density functional methods (DFT) are applied to sets of schiff bases and their complexes. The results are compared with experimental data. It is also found that the simulated IR spectra are in consistence with the experimental data. Copyright © 2010 U. C. Abdul Jaleel et al.
PubMed | University of Calicut and Malabar Christian College
Type: Journal Article | Journal: Zootaxa | Year: 2014
The rarely collected Oriental genus Neoclarkinella Rema and Narendran, 1996 is reviewed. Four species, all from India, are recognized of which two are described as new, namely Neoclarkinella janakikkadensis sp. nov., and N.narendrani sp. nov. from Kerala, India. A key to the oriental species of the genus is provided along with a character state matrix.