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9篇 您的检索式:作者名="Yarmoluk"
    题名 作者 年代 出处 被引量
1Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy显示文摘Kovalska V B Losytskyy M Y Yarmoluk S M 200460(1):1292004,60,1:1
2Interaction of cyanine dyes with nudeic acids-XXⅦ: synthesis and spectral properties of novel homodi-and homotrimeric monomethine cyanine dyes显示文摘Yarmoluk S M Kovalska V B Kocheshev I A 2001Dyes and Pigments2001,50,:1
3Proteins and cyanine dyes,part Ⅲ:synthesis and spectroscopic studies of bensothiazolo-4- monomethine cyanine dyes for fluorescent detection of bovine serum albumin in solutions显示文摘Yarmoluk S M Kryvorotenko D V Balanda A O 2001Dyes and Pigments2001,51,:1
4Fluorescent homodimer styrylcyanines: synthesis and spectral-luminescent studies in nucleic acids and protein complexes显示文摘V.B. Kovalska D.V. Kryvorotenko A.O. Balanda M.Yu. Losytskyy V.P. Tokar S.M. Yarmoluk 2004Dyes and Pigments2004,,1:1
5Interaction of cyanine dyes with nucleic acids, XX: new methods for the preparation of fluorescent probes based on benzotiazol-4- cyanine dyes显示文摘Yarmoluk S M Kryvorotenko D B Kovalska V B 2001Dyes and Pigments2001,48,:1
6Asymmetric carbocyanine 14K Dye--a new fluorescent probe for a homogeneous detection of proteinsin solution显示文摘Yarmoluk S M 2000Biopolyrrurrs Cell2000,16,:1
7Influence of cyanine dye structure on self-aggregation and interaction with nucleic acids:a kinetic approach to TO and BO binding显示文摘BIVER T BOGGIONI A SECCO F TURRIANI E VENTURINI M YARMOLUK S 2007Arch Biochem Biophys2007,465,1:1
8Influence of cyanine dye structure on self-aggregation and interaction with nucleic acids:a kinetic approach to TO and BO binding显示文摘BIVER T BOGGIONI A SECCO F TURRIANI E VENTURINI M YARMOLUK S 2007Arch Biochem Biophys2007,465,1:1
9Pharmacophore approaches in protein kinase inhibitors design显示文摘Protein kinases constitute a superfamily of therapeutic targets for a number of human and animal diseases that include more than 500 members accordingly to sequencing data of the human genome. The well characterized nature of protein kinases makes them excellent targets for drug development. Pharmacophore approaches have become one of the major tools in the area of drug discovery. Application of pharmacophore modeling approaches allows reducing of expensive overall cost associated with drug development project. Pharmacophore models are important functional groups of atoms in the proper spatial position for interaction with target protein. Various ligand-based and structurebased methods have been developed for pharmacophore model generation. Despite the successes in pharmacophore models generation these approaches have not reached their full capacity in application for drug discovery. In the following review, we summarize the published data on pharmacophore models for inhibitorsof tyrosine protein kinases(EGFR, HER2, VEGFR, JAK2, JAK3, Syk, ZAP-70, Tie2) and inhibitors of serine/threonine kinases(Clk, Dyrk, Chk1, IKK2, CDK1, CDK2, PLK, JNK3, GSK3, m TOR, p38 MAPK, PKB). Here, we have described the achievements of pharmacophore modeling for protein kinase inhibitors, which provide key points for further application of generated pharmacophore hypotheses in virtual screening, de novo design and lead optimization.Sergiy A Starosyla Galyna P Volynets Volodymyr G Bdzhola Andriy G Golub Sergiy M Yarmoluk 2014World Journal of Pharmacology2014,3,4:0
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