Common scaffolds, diverse recognition profiles.
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Algal Proteins↗
Biomedical subjects
Nagasuma Chandra
Publications and source records attributed to Nagasuma Chandra.
In-silico pharmacodynamics: correlation of adverse effects of H2-antihistamines with histamine N-methyl transferase binding potential.
Adverse effects are exhibited by most drugs in current clinical practice, the causes for which are often not known. In this post genomic era, bioinformatics has the potential to address several issues in understanding the mechanism of drug action and in designing improved drugs. This study describes the analysis of the possible pharmacodynamic behaviour of antihistamines blocking the histamine H(2) receptor (H(2)-antihistamines), by adopting the basic tenets of a systems biology approach. The different components that could form an appropriate sub-system are identified, thus providing a system landscape. Docking and analysis of the chosen antihistamines into each of these components resulted in identifying histamine N-methyl transferase (HNMT) as a potential unintended target for H(2)-antihistamines. Correlation with experimental data available from the literature indicates the inhibition of HNMT to be a possible cause for the adverse effects exhibited by these drugs. Implications for design of safer H(2)-antihistamines are discussed. The method reported here has the potential for application as a general strategy in understanding drug effects.
Binding Sites↗
Flux balance analysis of mycolic acid pathway: targets for anti-tubercular drugs.
Mycobacterium tuberculosis is the focus of several investigations for design of newer drugs, as tuberculosis remains a major epidemic despite the availability of several drugs and a vaccine. Mycobacteria owe many of their unique qualities to mycolic acids, which are known to be important for their growth, survival, and pathogenicity. Mycolic acid biosynthesis has therefore been the focus of a number of biochemical and genetic studies. It also turns out to be the pathway inhibited by front-line anti-tubercular drugs such as isoniazid and ethionamide. Recent years have seen the emergence of systems-based methodologies that can be used to study microbial metabolism. Here, we seek to apply insights from flux balance analyses of the mycolic acid pathway (MAP) for the identification of anti-tubercular drug targets. We present a comprehensive model of mycolic acid synthesis in the pathogen M. tuberculosis involving 197 metabolites participating in 219 reactions catalysed by 28 proteins. Flux balance analysis (FBA) has been performed on the MAP model, which has provided insights into the metabolic capabilities of the pathway. In silico systematic gene deletions and inhibition of InhA by isoniazid, studied here, provide clues about proteins essential for the pathway and hence lead to a rational identification of possible drug targets. Feasibility studies using sequence analysis of the M. tuberculosis H37Rv and human proteomes indicate that, apart from the known InhA, potential targets for anti-tubercular drug design are AccD3, Fas, FabH, Pks13, DesA1/2, and DesA3. Proteins identified as essential by FBA correlate well with those previously identified experimentally through transposon site hybridisation mutagenesis. This study demonstrates the application of FBA for rational identification of potential anti-tubercular drug targets, which can indeed be a general strategy in drug design. The targets, chosen based on the critical points in the pathway, form a ready shortlist for experimental testing.
Algorithms↗
Molecular mechanism of dimerization of Bowman-Birk inhibitors. Pivotal role of ASP76 in the dimerzation.
Horsegram (Dolichos biflorus), a protein-rich leguminous pulse, is a crop native to Southeast Asia and tropical Africa. The seeds contain multiple forms of Bowman-Birk type inhibitors. The major inhibitor HGI-III, from the native seed with 76 amino acid residues exists as a dimer. The amino acid sequence of three isoforms of Bowman-Birk inhibitor from germinated horsegram, designated as HGGI-I, HGGI-II, and HGGI-III, have been obtained by sequential Edman analyses of the pyridylethylated inhibitors and peptides derived therefrom by enzymatic and chemical cleavage. The HGGIs are monomers, comprising of 66, 65, and 60 amino acid residues, respectively. HGGI-III from the germinated seed differs from the native seed inhibitor in the physiological deletion of a dodecapeptide at the amino terminus and a tetrapeptide, -SHDD, at the carboxyl terminus. The study of the state of association of HGI-III, by size-exclusion chromatography and SDS-PAGE in the presence of 1 mM ZnCl2, has revealed the role of charged interactions in the monomer <--> dimer equilibria. Chemical modification studies of Lys and Arg have confirmed the role of charge interactions in the above equilibria. These results support the premise that a unique interaction, which stabilizes the dimer, is the cause of self-association in the inhibitors. This interaction in HGI-III involves the epsilon-amino group of the Lys24 (P1 residue) at the first reactive site of one monomer and the carboxyl of an Asp86 at the carboxyl terminus of the second monomer. Identification of the role of these individual amino acids in the structure and stability of the dimer was accomplished by chemical modifications, multiple sequence alignment of legume Bowman-Birk inhibitors, and homology modeling. The state of association may also influence the physiological and functional role of these inhibitors.
Amino Acid Sequence↗
Extracting hydrogen-bond signature patterns from protein structure data.
Classification of protein sequences and structures into families is a fundamental task in biology, and it is often used as a basis for designing experiments for gaining further knowledge. Some relationships between proteins are detected by the similarities in their sequences, and many more by the similarities in their structures. Despite this, there are a number of examples of functionally similar molecules without any recognisable sequence or structure similarities, and there are also a number of protein molecules that share common structural scaffolds but exhibit different functions. Newer methods of comparing molecules are required in order to detect similarities and dissimilarities in protein molecules. In this article, it is proposed that the precise 3-dimensional disposition of key residues in a protein molecule is what matters for its function, or what conveys the "meaning" for a biological system, but not what means it uses to achieve this. The concept of comparing two molecules through their intramolecular interaction networks is explored, since these networks dictate the disposition of amino acids in a protein structure. First, signature patterns, or fingerprints, of interaction networks in pre-classified protein structural families are computed using an approach to find structural equivalences and consensus hydrogen bonds. Five examples from different structural classes are illustrated. These patterns are then used to search the entire Protein Data Bank, an approach through which new, unexpected similarities have been found. The potential for finding relationships through this approach is highlighted. The use of hydrogen-bond fingerprints as a new metric for measuring similarities in protein structures is also described.
Algorithms↗
Determinants of histamine recognition: implications for the design of antihistamines.
Towards understanding how histamine, a vital neurotransmitter, can perform multiple physiological tasks, an analysis of the different proteins that bind histamine is reported here. Their structural comparison reveals conformational rigidity of histamine. Yet, flexibility in the modes of histamine binding has been observed, which appears to suit specific biological roles of the proteins. These results will be helpful in developing specific antihistamines and also in understanding the pharmacological and toxicological profiles of existing antihistamines.
Antigen-Antibody Complex↗
Detection of hydrogen-bond signature patterns in protein families.
SUMMARY: We have developed a WWW server, HBPRINT, for the identification of hydrogen-bond signature patterns in protein families from their structures. The server calculates (a) common hydrogen bonds between two structures (b) a hydrogen-bond fingerprint in a set of structural neighbours and (c) details of conserved hydrogen bonds. The server also enables the visualization of the hydrogen bond network comprising the signature pattern. AVAILABILITY: HBPRINT and a tutorial are available from http://144.16.93.115/hb_page/index.html.
Algorithms↗
Conformation of gramicidin-A in CTAB micellar media.
Gramicidin A (gA) is a linear pentadecapeptide, which exhibits various conformations depending on the environment. The conformational behavior of gA in spherical and rod-shaped cationic micelles formed by cetyltrimethylammonium bromide (CTAB) surfactant has been studied using circular dichroism (CD) and fluorescence spectroscopy, and a probable structure of gramicidin A in CTAB media has been proposed. A CD study shows that gramicidin A assumes beta(6.3) helical structure in cationic spherical as well as rod-shaped CTAB micellar media. Modeling studies show the flexibility of the side chain conformation particularly in tryptophan-9. Study of intrinsic fluorescence of tryptophans in gramicidin A indicates three distinct environments for the four-tryptophan residues in CTAB media.
Cetrimonium↗