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C Santhosh

Publications and source records attributed to C Santhosh.

5 recordsLinked to original sources
PubMed2006

Principal component analysis and artificial neural network analysis of oral tissue fluorescence spectra: classification of normal premalignant and malignant pathological conditions.

Pulsed laser-induced autofluorescence spectroscopic studies of pathologically certified normal, premalignant, and malignant oral tissues were carried out at 325 nm excitation. The spectral analysis and classification for discrimination among normal, premalignant, and malignant conditions were performed using principal component analysis (PCA) and artificial neural network (ANN) separately on the same set of spectral data. In case of PCA, spectral residuals, Mahalanobis distance, and scores of factors were used for discrimination among normal, premalignant, and malignant cases. In ANN, parameters like mean, spectral residual, standard deviation, and total energy were used to train the network. The ANN used in this study is a classical multiplayer feed-forward type with a back-propagation algorithm for the training of the network. The specificity and sensitivity were determined in both classification schemes. In the case of PCA, they are 100 and 92.9%, respectively, whereas for ANN they are 100 and 96.5% for the data set considered.

Aged↗
PubMed2004

Structural analysis of cation-pi interactions in DNA binding proteins.

Cation-pi interactions play an important role in the stability of protein structures. In this work, we have analyzed the influence of cation-pi interactions in DNA binding proteins. We observed cation-pi interactions in 45 out of 62 DNA binding proteins and there is no significant correlation between the number of amino acid residues and number of cation-pi interactions. These interactions are mainly formed by long-range contacts, and the role of short and medium-range contacts is minimal. The preference of Arg is higher than Lys to form cation-pi interactions. The pair-wise cation-pi interaction energy between aromatic and positively charged residues shows that Arg-Tyr energy is the strongest among the possible six pairs. The structural analysis of cation-pi interaction forming residues shows that Lys, Trp, and Tyr prefer to be in the binding site of protein-DNA complexes. Further, the accessible surface areas of cation-pi interaction forming cationic residues are significantly less than that of other residues. The preference of cation-pi interaction forming residues in different secondary structures shows that Lys prefers to be in strand and Phe prefers to be in turn regions. The results obtained in the present study will be useful in understanding the contribution of cation-pi interactions to the stability and specificity of protein-DNA complexes.

Amino Acids↗
PubMed2002

Role of cation-pi interactions to the stability of thermophilic proteins.

Elucidating the factors responsible for exhibiting extreme thermal stability of thermophilic proteins is very important for an understanding of the mechanism of protein stability, as well as to design stable proteins. In this work, we have analyzed the influence of cation-pi interactions to enhance the stability from mesophilic to thermophilic proteins. The favorable residue pairs forming such a system of interactions have been brought out. We found that the Tyr has a greater number of such interactions with Lys in thermophilic proteins. Specifically, the same Lys would experience a greater number of cation-pi interactions with several Tyr residues in thermophiles. On the other hand, the influence of Phe in making cation-pi interactions is higher in mesophiles than in thermophiles. Further, a network of cation-pi interactions are maintained by Lys in thermophiles, whereas Arg plays a major role in mesophilic proteins. Moreover, atoms that have a substantial positive charge in both Lys and Arg make a more significant contribution for cation-pi interactions than do cationic group atoms.

Amino Acids, Aromatic↗
PubMed1996

Molecular electrostatic potential mapping and structure-activity relationship for 3-methoxy flavones.

Molecular electrostatic potential (MEP) maps of certain 3-methoxy flavone derivatives having different anti-picornavirus activities have been studied. Geometries of the molecules were optimised and charge distributions computed using the AM1 molecular orbital method. Hybridization displacement charges (HDC) were combined with the Löwdin charge distributions to compute the MEP maps. Reliability of the method of computing MEP maps was tested by studying certain other molecules for which ab initio MEP results are available. The anti-picornavirus activities of the flavones have been shown to be related with negative MEP values in two regions, one near the 3-methoxy group and another in a diagonally opposite region near the substituent attached to the C7 atom of the molecules.

Antiviral Agents↗