The novel fungus Aspergillus niveus RS2 isolated from rice straw showed relatively high xylanase production after 5 days of fermentation. Of the different xylan-containing agricultural by-products tested, rice husk was the best substrate; however, maximum xylanase production occurred when the organism was cultured on purified xylan. Yeast extract was found to be the best nitrogen source for xylanase production, followed by ammonium sulfate and peptone. The optimum pH for maximum enzyme production was 8 (18.2 U/ml); however, an appreciable level of activity was obtained at pH 7 (10.9 U/ml). Temperature and pH optima for xylanase were 50°C and 7.0, respectively; however the enzyme retained considerably high activity under high temperature (12.1 U/ml at 60°C) and high alkaline conditions (17.2 U/ml at pH 8 and 13.9 U/ml at pH 9). The enzyme was strongly inhibited by Hg 2+ , while Mn 2+ was slight activator. The half-life of the enzyme was 48 min at 50°C. The enzyme was purified by 5.08-fold using carboxymethyl-sephadex chromatography. Zymogram analysis suggested the presence of a single candidate xylanase in the purified preparation. SDS-PAGE revealed a molecular weight of approximately 22.5 kDa. The enzyme had K m and V max values of 2.5 and 26 lmol/mg per minute, respectively.
Cadmium toxicity has been reported to have major health effects including carcinogenicity, respiratory disorders, kidney failure, neurotoxicity and liver dysfunction. Understanding the nature of the association of cadmium with biomolecules has thus become imperative and a key factor in predicting the phenomena behind predisposition to disease. Accordingly, a computational investigation of cadmium-binding characteristics was performed using about 140 cadmium-bound structures and 34 cadmium-binding sequences. The metal-coordinating architecture defining the chelate loops, residue arrangement, secondary-structural characteristics, distances and angles were analyzed. Binding patterns were predicted based on the probability of occurrence of residues within the coordination distance and were further corroborated with sequence patterns obtained from cadmium-binding proteins. About 56 different chelate loops were identified. Based on these chelate loops, putative cadmium-binding patterns were derived that resembled short-length motifs, namely Y-X-G-X-G, Q-X(9)-E, E-X(2)-E-X(2)-E and T-X(5)-E-X(2)-E, which were observed within the conserved regions of the cadmium-binding proteins. The poorer conservation of residues around these motifs resulted in a deviating pattern against the coordination loops. These structure-based motifs are proposed to be an efficient tool in building chelators for the effective removal of cadmium.
Subunit reassociation in mucin 1, a breast cancer tumor marker, is reported as one of the critical factors for its cytoplasmic activation. Inhibition of its heterodimeric association would therefore result in loss of its function and alter disease progression. The present study aimed at evaluating peptide inhibitor designing strategies that may serve as antagonist against this receptor-ligand alliance. Several peptides and their derivatives were designed based on native residues, subunit interface, hydrogen bonding and secondary structure. Docking studies with the peptides were carried on the receptor subunit and their binding affinities were evaluated using steered molecular dynamics simulation and umbrella sampling. Our results showed that among all the different classes of peptides evaluated, the receptor based peptide showed the highest binding affinity. This result was concurrent with the experimental observation that the receptor-ligand alliance in mucin 1 is highly specific. Our results also show that peptide ligand against this subunit association is only stabilized through native residue inter-protein interaction irrespective of the peptide structure, peptide length and number of hydrogen bonds. Consistency in binding affinity, pull force and free energy barrier was observed with only the receptor derived peptides which resulted in favorable interprotein interactions at the interface. Several observations were made and discussed which will eventually lead to designing efficient peptide inhibitors against mucin 1 heterodimeric subunit reassociation.
Chelation therapy is one of the most appreciated methods in the treatment of metal induced disease predisposition. Coordination chemistry provides a way to understand metal association in biological structures. In this work we have implemented coordination chemistry to study nickel coordination due to its high impact in industrial usage and thereby health consequences. This paper reports the analysis of nickel coordination from a large dataset of nickel bound structures and sequences. Coordination patterns predicted from the structures are reported in terms of donors, chelate length, coordination number, chelate geometry, structural fold and architecture. The analysis revealed histidine as the most favored residue in nickel coordination. The most common chelates identified were histidine based namely HHH, HDH, HEH and HH spaced at specific intervals. Though a maximum coordination number of 8 was observed, the presence of a single protein donor was noted to be mandatory in nickel coordination. The coordination pattern did not reveal any specific fold, nevertheless we report preferable residue spacing for specific structural architecture. In contrast, the analysis of nickel binding proteins from bacterial and archeal species revealed no common coordination patterns. Nickel binding sequence motifs were noted to be organism specific and protein class specific. As a result we identified about 13 signatures derived from 13 classes of nickel binding proteins. The specifications on nickel coordination presented in this paper will prove beneficial for developing better chelation strategies.
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