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An abnormal condition which troubles a living organism is called a disease. Nowadays, the most common problems thepeople are affected by are the heart problems. Several times, they lead to death in most cases due to the lack of correctdiagnosis. The volume of data has been increasing rapidly in the area of health care. Predicting the heart problems is verydifficult for the physicians. It is intractable to find the interesting patterns among enormous volumes of data. To find those,pattern recognition can be used, and to discover the hidden knowledge, data mining can be used. There have been a largenumber of medical data sets available in the market. Among all types of heart diseases, Cardio Vascular Disease is a type.So, many researchers carried out their works in heart disease dataset with 13 attributes, and 15 attributes with various datamining methods. In this study, ranking method was used in preprocessing a stage with total of 17 attributes for strengtheningthe rate of accuracy. The Zero R and J48 algorithms from NN and Multilayer Perceptron & decision tree were appliedrespectively on the dataset. The classifiers’ performance was analyzed by error rate and time complexity with accuracy. Inthis research, Multilayer perceptron classifier showed high accuracy results with 13 attributes. Out of these three classifiers,J48 classifier gave high accuracy, minimum error rate and less time while using 17 attributes. Hence, these approaches canbe very useful to the physicians to take decisions at the proper time. This research work was entirely carried out by WEKA(Waikato Environment Knowledge Analysis) data mining tool.
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Synthesis of macrocyclic metal complexes of Cr(III) and Fe(III) by the condensation of benzil dihydrazone with 1H-indole-2, 3-dione.The metal complexes were characterized by elemental analysis, molar conductance, magnetic susceptibility, thermal analysis, ESR, infrared, 1H NMR and UV-visible spectroscopy. On the bases of these studies, a five-coordinate square pyramidal geometry is proposed for all the metal complexes. In vitro antibacterial activity of macrocyclic metal complexes exhibited good results.
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Telomere maintenance plays a critical role in cancer progression.Approximately 85% human cancer cells maintain their telomere length through activation of telomerase.Other 15%of cancers maintain telomere length independently of telom-erase by alternative lengthening of telomeres (ALT)pathway. Both events are equally important for telomere length mainte-nance of cancer cells.Human telomere consists of a series of G rich DNA sequences,which could form G-quadruplex.The for-mation of this structure can block the extension of telomeres by telomerase or ALT,resulting in cancer cell death.Thereby,G-quadruplex has been one of the focuses of anticancer therapy in recent years.This review focuses on the latest progress of G-quadruplex stabilizers.
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OBJECTIVE To investigate the effect of new baicalin(BC) metal ions(Co2+,Cu2+, and Ni2+)complexes(BMCs)on ion channels Kv1.4 and Cav3.2. METHODS HEK293 or CHO cells loaded with various ion channels(hERG,Kv1.2,Kv1.3,Kv1.4,Kv1.5,Kv1.6,Kv1.7,Kv1.8,Kir1.1, Kir2.1,KCNQ and Cav3.2)were obtained by stable transfection method. Whole-cell patch-clamp tech?nique was used to record current changes of each ion channel induced by BC and BMC in 10μmoL · L-1. The effect of different concentrations(0.3,1,3,10 and 30μmoL · L-1)of BC-Co and BC-Cu on Kv1.4 and Cav3.2 current was detected by whole-cell patch-clamp technique. RESULTS A model of HEK293 cells or CHO cells that stably expressed various ion channels was obtained. BMCs (BC-Co,BC-Cu and BC-Ni)had some impact on various ion channels,especially on Kv1.4 and Cav3.2. The inhibitory rate induced by BC-Co,BC-Cu and BC-Ni(10 μmol · L-1)was 91%,76% and-10%,respectively,for Kv1.4;and 43%,57%and-14%,respectively,for Cav3.2. IC50 of BC-Co was 1.69 and 0.81μmoL·L-1 for Kv1.4 and Cav3.2. IC50 of BC-Cu was 1.66 and 0.58μmoL · L-1 for Kv1.4 and Cav3.2. CONCLUSION BC-Cu and BC-Co concentration-dependently inhibit Kv1.4 and Cav3.2 ion channels.
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Objective: The correlation of baicalin-metal (Y3+, La3+, and Ce3+) complexes (BMC) anti-tumor activity and the interactional ability of BMC binding with hepatoma SMMC-7721 cell DNA was investigated. Methods: Hepatoma SMMC-7721 cells DNA was extracted as a target, cyclic voltammetry and AC impedance were utilized to study the interaction between BMC and DNA, and the interaction mechanism between BMC and DNA was explored. Results: BMC and hepatoma SMMC-7721 cell DNA formed a non-electroactive supramolecular compounds through mixed-mode of electrostatic interaction, binding number m = 1, binding constant βBC = 1.27 × 105 L/mol, βBC-Y = 3.46 × 105 L/mol, βBC-La = 6.24 × 105 L/mol, and βBC-Ce = 7.29 × 106 L/mol. After BC binding with metal ions, its ability of binding to DNA significantly enhanced, and the strength order: BC-Ce > BC-La > BC-Y > BC. Conclusion: The ability of BMC binding with DNA consists with its cytotoxicity. After BMC binding with SMMC-7721 cell DNA, it could inhibit the cell proliferation and lead to the cell apoptosis, which illustrates the BMC exhibits an anti-tumor activity. The relevant results have given a reference for the study on the new anti-tumor complexes of Chinese materia medica.
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New complexes of Co(II), Ni(II), Cu(II), Cd (II), Pt(II),and Pd(II) with 4-(trifluoro-4-ylidene) hydrazine carbothioamide have been synthesized. All the new compounds were characterized by elemental analysis, molar conductance measurements, magnetic susceptibility measurements, LC-MS. H1NMR, FTIR and electronic spectral studies. Based on the molar conductance measurements in DMF the complexes may be formulated as [Ni(L)2Cl2] and [M(L)2]X2 (where M = Co (II), Cu (II), Cd (II), Pt (II) and Pd(II) and X = Cl - , CH3COO - due to their non electrolytic nature respectively. The antimicrobial activities of the ligand and their complexes have been studied by screening the compounds against the bacteria E. coli and S. aureus and also the fungi Asperillius niger and candida albicans and results have been compared with standard drug streptomycin and fluconazole. The data indicate that the metal complexes have higher antimicrobial activity than the free ligand and the standard drug. The DNA cleavage experiments, performed using gel electrophoresis with the corresponding metal complexes in the presence of H2O2 showed that all the complexes afford a pronounced discernible DNA cleavage evidenced by the disappearance of form I (supercoiled) of DNA and the production of formII (Linear).
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The metal complexes with Schiff base derived from the condensation of 3-acetyl coumarin, (0.1mol) with salicyloylhydrazide / 2-hydroxynaphthaldehyde in alcohol resulted as Schiff base, (14E)-N’-(2-hydroxybenzylidine)-2-oxo-2H-chromene-3- carbohydrazide(HL1) and (14E)-N’-(2-hydroxynaphthalen-3-yl)methylene)-2-oxo-2Hchromene- 3carbohydrazide (HL2). The Schiff base has been shown to coordinate through ring C=N and OH group. These complexes were characterized by elemental analyses, conductance measurements, magnetic susceptibility measurements, IR, 1H NMR, X-ray diffraction and electronic spectral studies. On the basis of these studies octahedral geometry was assigned for Mn (II), Co (II), Ni (II), Cu (II), Zn (II), Cd (II) and Hg(II) complexes. These complexes have been screened in vitro for their possible antimicrobial activity.
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Objective: To qualitatively identify 5 chlorin metal complexes which had similar structures. Methods: The compounds were identified by the convolution curve transformation technology and computer information process technology. Results: The results were demonstrated by match comparison and three dimensional differential diagram of convolution spectra. Five chlorin metal complexes were identified satisfactorily and 10 nonidentity identification results were acquired. Conclusion: The convolution spectrum method is simple and feasible for the identification of the compounds which have similar structures. [