人肌肌酸激酶胍变性时的失活与构象变化的比较研究

应用二阶导数光谱、紫外差吸收光谱和荧光光谱等监测手段,研究了人肌肌酸激酶在盐酸胍溶液中的构象变化。二阶导数光谱结果表明,若以6M盐酸胍中肌酸激酶酪氨酸残基的暴露程度为100％,则天然酶酪氨酸残基的暴露程度只有2％。而紫外差吸收光谱和荧光光谱的变化与兔肌肌酸激酶的结果相似。比较不同胍浓度下人肌肌酸激酶的失活与构象变化,表明酶的失活先于构象变化。同时还测定了不同浓度胍溶液中人肌酶的失活与构象变化的速度常数。结果表明以几种方法测定的构象变化均为单相的一级过程,而酶的失活却呈现了由快慢两相组成的一级反应过程。比较同浓度胍溶液中的失活速度与构象变化速度,发现酶失活的快相反应速度常数比构象变化的速度常数大1—2个数量级,慢相速度常数与构象变化速度常数相近。上述结果进一步支持了酶的活性部位构象柔性的观点。     

Association between MMP1 -1607 1G>2G Polymorphism and Head and Neck Cancer Risk: A Meta-Analysis

Background

MMP1 is an important member of the MMP endopeptidase family that plays a critical role in the development of head and neck cancer (HNC). Several studies have investigated the association between the MMP1 -1607 1G>2G polymorphism and risk of HNC, but their results have been inconsistent. Here, we conducted a meta-analysis to further explore the role of the MMP1 -1607 1G>2G polymorphism in HNC development.

Methods

We identified all eligible studies in the electronic databases of PubMed, ISI Web of Knowledge, MEDLINE, Embase, and Google Scholar (from January 2000 to June 2012). A meta-analysis was performed to evaluate the association between the MMP1 -1607 1G>2G polymorphism and risk of HNC by calculating odds ratios (OR) and 95% confidence interval (CIs).

Results

Twelve studies were included in this meta-analysis. In overall comparison, significant associations were found using the recessive and allelic contrast models (OR, 1.38; 95% CI, 1.07–1.79 and OR, 1.27; 95% CI, 1.05–1.53, respectively), but no association was detected using the dominant model. In the stratified analyses by several variables, significant associations were observed using the recessive, dominant, and allelic contrast models in the Asian population (OR, 1.64; 95% CI, 1.29–2.08; OR, 1.39; 95% CI, 1.06–1.82; and OR, 1.41; 95% CI, 1.21–1.65, respectively), European population (OR, 0.58; 95% CI, 0.40–0.84; OR, 0.64; 95% CI, 0.44–0.92; and OR, 0.68; 95% CI, 0.54–0.85, respectively), and population-based subgroup (OR, 1.24; 95% CI,1.05–1.47; OR,1.48; 95% CI,1.04–2.12; and OR, 1.22; 95% CI, 1.07–1.38, respectively). Furthermore, significant associations were detected in oral cavity cancer and nasopharyngeal cancer under the recessive model.

Conclusion

Our results suggest that the MMP1 -1607 1G>2G polymorphism is associated with risk of HNC and that it plays different roles in Asian and European populations. Further studies with large sample size are needed to validate our findings.     

Structure-activity relationships of pyrrole based S-nitrosoglutathione reductase inhibitors: pyrrole regioisomers and propionic acid replacement

S-Nitrosoglutathione reductase (GSNOR) is a member of the alcohol dehydrogenase family (ADH) that regulates the levels of S-nitrosothiols (SNOs) through catabolism of S-nitrosoglutathione (GSNO). GSNO and SNOs are implicated in the pathogenesis of many diseases including those in respiratory, cardiovascular, and gastrointestinal systems. The pyrrole based N6022 was recently identified as a potent, selective, reversible, and efficacious GSNOR inhibitor which is currently undergoing clinical development. We describe here the synthesis and structure-activity relationships (SAR) of novel pyrrole based analogues of N6022 focusing on scaffold modification and propionic acid replacement. We identified equally potent and novel GSNOR inhibitors having pyrrole regioisomers as scaffolds using a structure based approach.     

The kinetic study of arginine kinase from the sea cucumber Stichopus japonicus with 5,5'-dithiobis-(2-nitrobenzoic acid)

The Stichopus japonicus arginine kinase (AK) is a significant dimeric enzyme. Its modification and inactivation course with 5,5'-dithiobis-(2-nitrobenzoic acid) (DTNB) and the reactivation course of DTNB-modified AK by dithiothreitol were investigated on the basis of the kinetic theory of the substrate reaction during the modification of enzyme activity. The results show that the modification is a biphasic course while the inactivation is monophasic, with one essential reactive cysteine per subunit. The Cys274 (numbering from the Stichopus sequence) is exposed to DTNB and is near the ATP binding site. The modified AK can be reactivated by an excess concentration of dithiothreitol in a monophasic kinetic course. The presence of ATP or the transition-state analog markedly slows the apparent reactivation rate constant. The analog components, arginine-ADP-Mg2+ can induce conformational changes of the modified enzyme, but adding NO3- cannot induce further changes that occur with the native enzyme. The reactive cysteines' location and its role in the catalysis of AK are discussed. The results suggest that the cysteine may be located in the hinge area of the two domains of AK. The reactive cysteine of AK, which was proposed to be Cys274, may play an important role not in the binding of the transition-state analog but in the conformational changes caused by the transition-state analog.     

Discovery of novel selective inhibitors for EGFR-T790M/L858R

Through a receptor-based and ligand-based combined virtual screening protocol, 21 novel compounds covering 15 scaffolds were identified as novel inhibitors for EGFR-T790M/L858R, among which, 12 of them were identified as selective inhibitors for EGFR-T790M/L858R to wild-type EGFR, and 5 of them exhibited 'dual-effective' to wild-type and mutant EGFR. Meanwhile, their antiproliferative effects toward EGFR high-expressing human lung cancer cell (A549), epidermoid carcinoma cell (A431), and the mutant EGFR-dependent cell (NCI-H1975) were also evaluated.     

A simple Cα-SC potential with higher accuracy for protein fold recognition

In this paper, an improved C_α-SC energy potential designed for protein fold recognition was reported. It consists of three extremely simple interaction terms which are supposed to be the dominant interactions in protein folding: residue-residue contact, hydrophobicity and pseudodihedral potentials. The potential function only contains 210 contacts, one hydrophobic and one torsion parameters, which have been optimized using an interior point algorithm of linear programming. Tests of the derived potential function on commonly used decoy sets illustrate that it outperforms most of the existing coarse-grained potentials in terms of its capabilities in recognizing native structures and consistency in achieving high Z-scores across decoy sets, and it has almost equivalent performance to the potentials which considered complex intra-molecular interactions. The results show that our scoring function is a generally prospective potential for protein structure prediction and modeling with regard to its recognition and computation efficacy.     

Cyndi: a multi-objective evolution algorithm based method for bioactive molecular conformational generation

Background  

Conformation generation is a ubiquitous problem in molecule modelling. Many applications require sampling the broad molecular conformational space or perceiving the bioactive conformers to ensure success. Numerous in silico methods have been proposed in an attempt to resolve the problem, ranging from deterministic to non-deterministic and systemic to stochastic ones. In this work, we described an efficient conformation sampling method named Cyndi, which is based on multi-objective evolution algorithm.