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101.
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Background

The fluctuation of atoms around their average positions in protein structures provides important information regarding protein dynamics. This flexibility of protein structures is associated with various biological processes. Predicting flexibility of residues from protein sequences is significant for analyzing the dynamic properties of proteins which will be helpful in predicting their functions.

Results

In this paper, an approach of improving the accuracy of protein flexibility prediction is introduced. A neural network method for predicting flexibility in 3 states is implemented. The method incorporates sequence and evolutionary information, context-based scores, predicted secondary structures and solvent accessibility, and amino acid properties. Context-based statistical scores are derived, using the mean-field potentials approach, for describing the different preferences of protein residues in flexibility states taking into consideration their amino acid context.The 7-fold cross validated accuracy reached 61 % when context-based scores and predicted structural states are incorporated in the training process of the flexibility predictor.

Conclusions

Incorporating context-based statistical scores with predicted structural states are important features to improve the performance of predicting protein flexibility, as shown by our computational results. Our prediction method is implemented as web service called “FLEXc” and available online at: http://hpcr.cs.odu.edu/flexc.
  相似文献   
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6-thioguanine (6-TG) is an antineoplastic, nucleobase guanine, purine analog drug belongs to thiopurine drug-family of antimetabolites. In the present study, we report an experimental approach towards interaction mechanism of 6-TG with human serum albumin (HSA) and examine the chemical stability of HSA in the presence of denaturants such as guanidine hydrochloride (GdnHCl) and urea. Interaction of 6-TG with HSA has been studied by various spectroscopic and spectropolarimeteric methods to investigate what short of binding occurs at physiological conditions. 6-TG binds in the hydrophobic cavity of subdomain IIA of HSA by static quenching mechanism which induces conformation alteration in the protein structure. That helpful for further study of denaturation process where change in secondary structures causes unfolding of protein that also responsible for severance of domain III from rest of the protein part. We have also performed molecular simulation and molecular docking study in the presence of denaturating agents to determine the binding property of 6-TG and the effect of denaturating agents on the structural activity of HSA. We had found that GdnHCl is more effective denaturating agent when compared to urea. Hence, this study provides straight evidence of the binding mechanism of 6-TG with HSA and the formation of intermediate or unfolding transition that causes unfolding of HSA.  相似文献   
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Reproductive hormones play a significant role in the gonadal development and gametogenesis process of animals. In the present study luteinizing hormone beta, (lhb) subunit gene was cloned and characterized from the brain of Catla catla. The lhb full-length of cDNA sequence is 629 bp which consists of 43bp 5'-UTR (untranslated region) 447bp, ORF(open reading frame) and 139 bp of 3'-UTR respectively. The coding region of lhb gene encoded a peptide of 148 amino acids. The coding sequence of lhb gene consist of a single N-linked glycosylation site (NET) and 12 cysteine knot residues. Phylogenetic analysis of C. catla Lhβ deduced amino acid sequence showed high similarity with Carassius auratus followed by Gobiocypris rarus. 3D structure Lhβ protein comprises of five β-sheets and six coils/loops. The qPCR results revealed lhb mRNA is mainly expressed in the pituitary, ovary while moderate expression was observed in brain and testis. To best our knowledge, this is the first report on the identification, molecular characterization and structural information regarding luteinizing hormone in Indian major carp.  相似文献   
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Copper oxide nanomaterials were synthesized by a facile sustainable biological method using two plant species (Zanthoxylum armatum DC. and Berberis lycium Royle ). The formation of materials was confirmed by FT‐IR, ATR, UV‐visible, XRD, TEM, SEM, EDX, TGA and PL. The antibacterial activity was evaluated by agar well diffusion method to ascertain the efficacy of plant species extract and extract derived copper oxide nanomaterials against six Gram‐positive bacteria namely Staphylococcus aureus, Streptococcus mutans, Streptococcus pyogenes, Corynebacterium diphtheriae, Corynebacterium xerosis, Bacillus cereus and four Gram‐negative bacteria such as Klebsiella pneumonia, Escherichia coli, Pseudomonas aeruginosa and Proteus vulgaris against the standard drug, Ciprofloxacin for Gram‐positive and Gentamicin for Gram‐negative bacteria, respectively. In both cases, copper oxide nanomaterials were found to be sensitive in all the bacterial species. Sensitivity of copper oxide nanomaterials shows an be higher as compared to plant species extract against different bacteria. Scavenging activity of plant extracts along with nanomaterials have been accessed using previously reported protocols employing ascorbic acid as standard. Scavenging activity of copper oxide nanomaterials shows an increase with increase in concentration. The biological activity (bactericidal and scavenging efficiency) of plant derived copper oxide nanomaterials revealed that these materials can be used as potent antimicrobial agent and DPPH scavengers in industrial as well as pharmacological fields.  相似文献   
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Journal of Physiology and Biochemistry - Gamma-tocotrienol (GTT) and hydroxychavicol (HC) exhibit anticancer activity in glioma cancer cells, where the combination of GTT + HC was shown to be more...  相似文献   
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The International Journal of Life Cycle Assessment - Palm oil is considered as the primary source of income for many farmers in Southeast Asia and become a very important agricultural commodity for...  相似文献   
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