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Ramanathan Sowdhamini

Publications and source records attributed to Ramanathan Sowdhamini.

14 recordsLinked to original sources

A novel meta-cleavage product hydrolase from Flavobacterium sp. ATCC27551.

The organophosphate degrading (opd) gene cluster of plasmid pPDL2 of Flavobacterium sp. ATCC27551 contains a novel open-reading frame, orf243. This was predicted to encode an alpha/beta hydrolase distantly related to the meta-fission product (MFP) hydrolases such as XylF, PhnD, and CumD. By homology modeling Orf243 has most of the structural features of MFP hydrolases including the characteristic active site catalytic triad. The purified protein (designated MfhA) is a homotetramer and shows similar affinity for 2-hydroxy-6-oxohepta-2,4-dienoate (HOHD), 2-hydroxymuconic semialdehyde (HMSA), and 2-hydroxy-5-methylmuconic semialdehyde (HMMSA), the meta-fission products of 3-methyl catechol, catechol, and 4-methyl catechol. The unique catalytic properties of MfhA and the presence near its structural gene of cis-elements required for transposition suggest that mfhA has evolved towards encoding a common hydrolase that can act on meta-fission products containing either aldehyde or ketone groups.

Amino Acid Sequence↗

SSToSS--sequence-structural templates of single-member superfamilies.

The presence of sequence homologues and the availability of structural information of proteins enable better understanding of the biological function of a protein family. A majority of entries in protein structural databank are single member superfamilies for which it is hard to derive motifs due to the paucity of structural homologues. Important conserved segments for these superfamilies have been identified and compiled into a database, SSToSS (Sequence Structural Templates of Single member Superfamily). Conserved regions, recognized by permitted amino acid exchanges, are mapped on the structure and various structural features (solvent accessibility, secondary structure content, hydrogen bonding and residue packing) are examined. These conserved segments with high structural feature content are projected as sequence-structural templates for the particular superfamily member. Interactive three-dimensional displays of the templates in three-dimensional structure (in Chime and RASMOL) are provided for better understanding and visualization. In SSToSS database, we also provide the application of sequence-structural templates in three different areas: multiple-motif based sequence search, multiple sequence alignment and homology modeling. In each case, the inclusion of the sequence-structural templates can give rise to sensitive and accurate results. This enables the inclusion of singletons to provide added value to the recognition of additional members, comparative modeling and in designing experiments.

Amino Acid Motifs↗

Cross genome phylogenetic analysis of human and Drosophila G protein-coupled receptors: application to functional annotation of orphan receptors.

BACKGROUND: The cell-membrane G-protein coupled receptors (GPCRs) are one of the largest known superfamilies and are the main focus of intense pharmaceutical research due to their key role in cell physiology and disease. A large number of putative GPCRs are 'orphans' with no identified natural ligands. The first step in understanding the function of orphan GPCRs is to identify their ligands. Phylogenetic clustering methods were used to elucidate the chemical nature of receptor ligands, which led to the identification of natural ligands for many orphan receptors. We have clustered human and Drosophila receptors with known ligands and orphans through cross genome phylogenetic analysis and hypothesized higher relationship of co-clustered members that would ease ligand identification, as related receptors share ligands with similar structure or class. RESULTS: Cross-genome phylogenetic analyses were performed to identify eight major groups of GPCRs dividing them into 32 clusters of 371 human and 113 Drosophila proteins (excluding olfactory, taste and gustatory receptors) and reveal unexpected levels of evolutionary conservation across human and Drosophila GPCRs. We also observe that members of human chemokine receptors, involved in immune response, and most of nucleotide-lipid receptors (except opsins) do not have counterparts in Drosophila. Similarly, a group of Drosophila GPCRs (methuselah receptors), associated in aging, is not present in humans. CONCLUSION: Our analysis suggests ligand class association to 52 unknown Drosophila receptors and 95 unknown human GPCRs. A higher level of phylogenetic organization was revealed in which clusters with common domain architecture or cellular localization or ligand structure or chemistry or a shared function are evident across human and Drosophila genomes. Such analyses will prove valuable for identifying the natural ligands of Drosophila and human orphan receptors that can lead to a better understanding of physiological and pathological roles of these receptors.

Amino Acid Sequence↗

Genome wide survey of G protein-coupled receptors in Tetraodon nigroviridis.

BACKGROUND: The G-protein-coupled receptors (GPCRs) constitute one of the largest and most ancient superfamilies of membrane proteins. They play a central role in physiological processes affecting almost all aspects of the life cycle of an organism. Availability of the complete sets of putative members of a family from diverse species provides the basis for cross genome comparative studies. RESULTS: We have defined the repertoire of GPCR superfamily of Tetraodon complement with the availability of complete sequence of the freshwater puffer fish Tetraodon nigroviridis. Almost all 466 Tetraodon GPCRs (Tnig-GPCRs) identified had a clear human homologue. 189 putative human and Tetraodon GPCR orthologous pairs could be identified. Tetraodon GPCRs are classified into five GRAFS families, by phylogenetic analysis, concurrent with human GPCR classification. CONCLUSION: Direct comparison of GPCRs in Tetraodon and human genomes displays a high level of orthology and supports large-scale gene duplications in Tetraodon. Examples of lineage specific gene expansions were also observed in opsin and odorant receptors. The human and Tetraodon GPCR sequences are analogous in terms of GPCR subfamilies but display disproportionate numbers of receptors at the subfamily level. The teleost genome with its expanded set of GPCRs provides additional and interesting comparators to study both evolution and function of these receptors.

Animals↗

DIAL: a web-based server for the automatic identification of structural domains in proteins.

DIAL is a web server for the automatic identification of structural domains given the 3D coordinates of a protein. Delineation of the structural domains and their exact boundaries are the starting points for the better realization of distantly related members of the domain families, for the rational design of the experiments and for clearer understanding of the biological function. The current server can examine crystallographic multiple chains and provide structural domain solutions that can also describe domain swapping events. The server can be accessed from http://www.ncbs.res.in/~faculty/mini/DIAL/home.html. The Supplementary data can be accessed from http://www.ncbs.res.in/~faculty/mini/DIAL/supplement.html.

Amino Acid Motifs↗

Comparative analysis of different competitive antagonists interaction with NR2A and NR2B subunits of N-methyl-D-aspartate (NMDA) ionotropic glutamate receptor.

The antagonist-bound conformation of the NR2A and NR2B subunits of N-methyl-D-aspartate (NMDA) ionotropic glutamate receptor are modeled using the crystal structure of the DCKA (5,7-dichloro-kynurenic acid)-bound form of the NR1 subunit ligand-binding core (S1S2). Five different competitive NMDA receptor antagonists [(1) DL-AP5; (2) DL-AP7; (3) CGP-37847; (4) CGP 39551; (5) (RS)-CPP] have been docked into both NR2A and NR2B subunits. Experimental studies report NR2A and NR2B subunits having dissimilar interactions and affinities towards the antagonists. However, the molecular mechanism of this difference remains unexplored. The distinctive features in the antagonist's interaction with these two different but closely related (approximately 80% sequence identity at this region) subunits are analyzed from the patterns of their hydrogen bonding. The regions directly involved in the antagonist binding have been classified into seven different interaction sites. Two conserved hydrophilic pockets located at both the S1 and S2 domains are found to be crucial for antagonist binding. The positively charged (Lys) residues present at the second interaction site and the invariant residue (Arg) located at the fourth interaction site are seen to influence ligand binding. The geometry of the binding pockets of NR2A and NR2B subunits have been determined from the distance between the C-alpha atoms in the residues interacting with the ligands. The binding pockets are found to be different for NR2A and NR2B. There are gross dissimilarities in competitive antagonist binding between these two subunits. The binding pocket geometry identified in this study may have the potential for future development of selective antagonists for the NR2A or NR2B subunit.

Amino Acid Sequence↗

GenDiS: Genomic Distribution of protein structural domain Superfamilies.

Several proteins that have substantially diverged during evolution retain similar three-dimensional structures and biological function inspite of poor sequence identity. The database on Genomic Distribution of protein structural domain Superfamilies (GenDiS) provides record for the distribution of 4001 protein domains organized as 1194 structural superfamilies across 18,997 genomes at various levels of hierarchy in taxonomy. GenDiS database provides a survey of protein domains enlisted in sequence databases employing a 3-fold sequence search approach. Lineage-specific literature is obtained from the taxonomy database for individual protein members to provide a platform for performing genomic and phyletic studies across organisms. The database documents residual properties and provides alignments for the various superfamily members in genomes, offering insights into the rational design of experiments and for the better understanding of a superfamily. GenDiS database can be accessed at http://www.ncbs.res.in/~faculty/mini/gendis/home.html.

Databases, Protein↗

Structural consequences of D481N/K483Q mutation at glycine binding site of NMDA ionotropic glutamate receptors: a molecular dynamics study.

N-Methyl-D-Aspartate (NMDA) receptors are the ligand gated as well as voltage sensitive ionotropic glutamate receptors, widely distributed in the vertebrate central nervous system and they play critical role in the pathogenesis of schizophrenia. Molecular dynamics simulations have been carried out on high resolution crystal structure of NR1 subunit of NMDA receptor ligand binding core (S1S2) in four different conformations. We have investigated consequence of D481N/K483Q double mutation of NR1 subunit from simulation results of (a) glycine bound form (WG), (b) unbound (closed-apo) form (WOG), (c) a double mutated form (DM), and (d) the antagonist (5,7-dichlorokynuric acid) bound form (DCKA). The MD simulations and simulated annealing for 4ns show a distinct conformation for the double mutated conformation that neither follows the antagonist nor apo conformation. There are two distinct sites, loop1 and loop2 where the double mutated structure in its glycine bound form shows significant RMSD deviations as compared to the wild-type. The interactions of glycine with the receptor remain theoretically unchanged in the double mutated structure and there is no detachment of S1S2 domains. The results suggest that separation of S1 and S2 domains may not be essential for channel inactivation. Therefore, it is hypothesized that hypoactivation of NMDA receptor channels may arise out of the conformational changes at non-conserved Loop1 and Loop2 regions observed in the mutated structure. The Loop1 and Loop2 regions responsible for inter-subunit interactions in a functional NMDA receptor, may therefore, render the ligand bound form defunct. This may account for behavioral anomalies due to receptor inactivation seen in grin1 mutated mice.

Amino Acid Sequence↗

FASSM: enhanced function association in whole genome analysis using sequence and structural motifs.

We present an algorithm to detect remote homology, which arises through circular permutation and discontinuous domains. It is also helpful in detecting small domain proteins that are characterized by few conserved residues. The input to the algorithm is a set of multiply aligned protein sequence profiles. This method, coded as FASSM, examines the sequence conservation and positions of protein family signatures or motifs for the annotation of protein sequences and to facilitate the analysis of their domains. The overall coverage of FASSM is 93% in comparison to other validation tools like HMM and IMPALA. The method is especially useful for difficult relationships such as discontinuous domains during whole-genome surveys and is demonstrated to perform accurate family associations at sequence identities as low as 15%.

Algorithms↗

Improvement of alignment accuracy utilizing sequentially conserved motifs.

BACKGROUND: Multiple sequence alignment algorithms are very important tools in molecular biology today. Accurate alignment of proteins is central to several areas such as homology modelling, docking studies, understanding evolutionary trends and study of structure-function relationships. In recent times, improvement of existing progressing programs and implementation of new iterative algorithms have made a significant change in this field. RESULTS: We report an alignment algorithm that combines progressive dynamic algorithm, local substructure alignment and iterative refinement to achieve an improved, user-interactive tool. Large-scale benchmarking studies show that this FMALIGN server produces alignments that, aside from preservation of functional and structural conservation, have accuracy comparable to other popular multiple alignment programs. CONCLUSIONS: The FMALIGN server allows the user to fix conserved regions in equivalent position in the alignment thereby reducing the chance of global misalignment to a great extent. FMALIGN is available at http://caps.ncbs.res.in/FMALIGN/Home.html.

Algorithms↗

Evolutionary trace analysis of ionotropic glutamate receptor sequences and modeling the interactions of agonists with different NMDA receptor subunits.

The ionotropic N-methyl- d-aspartate (NMDA) receptor is of importance in neuronal development, functioning, and degeneration in the mammalian central nervous system. The functional NMDA receptor is a heterotetramer comprising two NR1 and two NR2 or NR3 subunits. We have carried out evolutionary trace (ET) analysis of forty ionotropic glutamate receptor (IGRs) sequences to identify and characterize the residues forming the binding socket. We have also modeled the ligand binding core (S1S2) of NMDA receptor subunits using the recently available crystal structure of NR1 subunit ligand binding core which shares approximately 40% homology with other NMDA receptor subunits. A short molecular dynamics simulation of the glycine-bound form of wild-type and double-mutated (D481N; K483Q) NR1 subunit structure shows considerable RMSD at the hinge region of S1S2 segment, where pore forming transmembrane helices are located in the native receptor. It is suggested that the disruption of domain closure could affect ion-channel activation and thereby lead to perturbations in normal animal behavior. In conclusion, we identified the amino acids that form the ligand-binding pocket in many ionotropic glutamate receptors and studied their hydrogen bonded and nonbonded interaction patterns. Finally, the disruption in the S1S2 domain conformation (of NR1 subunit- crystal structure) has been studied with a short molecular dynamics simulation and correlated with some experimental observations. [figure: see text]. The figure shows the binding mechanism of glutamate with NR2B subunit of the NMDA receptor. Glutamate is shown in cpk, hydrogen bonds in dotted lines and amino acids in blue. The amino acids shown here are within a 4-A radius of the ligand (glutamate).

Amino Acid Sequence↗

PASS2: an automated database of protein alignments organised as structural superfamilies.

BACKGROUND: The functional selection and three-dimensional structural constraints of proteins in nature often relates to the retention of significant sequence similarity between proteins of similar fold and function despite poor sequence identity. Organization of structure-based sequence alignments for distantly related proteins, provides a map of the conserved and critical regions of the protein universe that is useful for the analysis of folding principles, for the evolutionary unification of protein families and for maximizing the information return from experimental structure determination. The Protein Alignment organised as Structural Superfamily (PASS2) database represents continuously updated, structural alignments for evolutionary related, sequentially distant proteins. DESCRIPTION: An automated and updated version of PASS2 is, in direct correspondence with SCOP 1.63, consisting of sequences having identity below 40% among themselves. Protein domains have been grouped into 628 multi-member superfamilies and 566 single member superfamilies. Structure-based sequence alignments for the superfamilies have been obtained using COMPARER, while initial equivalencies have been derived from a preliminary superposition using LSQMAN or STAMP 4.0. The final sequence alignments have been annotated for structural features using JOY4.0. The database is supplemented with sequence relatives belonging to different genomes, conserved spatially interacting and structural motifs, probabilistic hidden markov models of superfamilies based on the alignments and useful links to other databases. Probabilistic models and sensitive position specific profiles obtained from reliable superfamily alignments aid annotation of remote homologues and are useful tools in structural and functional genomics. PASS2 presents the phylogeny of its members both based on sequence and structural dissimilarities. Clustering of members allows us to understand diversification of the family members. The search engine has been improved for simpler browsing of the database. CONCLUSIONS: The database resolves alignments among the structural domains consisting of evolutionarily diverged set of sequences. Availability of reliable sequence alignments of distantly related proteins despite poor sequence identity and single-member superfamilies permit better sampling of structures in libraries for fold recognition of new sequences and for the understanding of protein structure-function relationships of individual superfamilies. PASS2 is accessible at http://www.ncbs.res.in/~faculty/mini/campass/pass2.html

Amino Acid Sequence↗

Improvement of comparative modeling by the application of conserved motifs amongst distantly related proteins as additional restraints.

Protein comparative modeling has useful applications in large-scale structural initiatives and in rational design of drug targets in medicinal chemistry. The reliability of a homology model is dependent on the sequence identity between the query and the structural homologue used as a template for modeling. Here, we present a method for the utilization and conservation of important structural features of template structures by providing additional spatial restraints in comparative modeling programs like MODELLER. We show that root mean square deviation at C(alpha) positions between the model and the corresponding experimental structure and the quality of the models can be significantly improved for distantly related systems by utilizing additional spatial restraints of the template structures. We demonstrate the influence of such approaches to homology modeling during distant relationships in understanding functional properties of protein such as ligand binding using cytochrome P450 as an example.

Amino Acid Motifs↗

Fold prediction and comparative modeling of Bdm1: a probable alpha/beta hydrolase associated with hot water epilepsy.

Hot water epilepsy (HWE) is a benign and rare form of reflex epilepsy that occurs most commonly in humans. Bdm1 is one of the proteins whose mRNA transcript is overexpressed during HWE in a rat model. We show, by sequence analysis and fold recognition methods, that Bdm1 has strong structural similarities to alpha/beta hydrolases like the thioesterases. A three-dimensional model derived by comparative modeling methods allowed the search for catalytic residues using a flexible functional template characteristic of these enzymes. We predict that Bdm1 might be regulated by homocysteine levels by means of direct participation in degradation pathways.

Amino Acid Sequence↗