Literature DB >> 17427009

Insights into molecular medicine: development of new diagnostic and prognostic parameters.

Gernot P Tilz1, Marco Wiltgen, Ulrike Demel, Christian Faschinger, Hannes Schmidinger, Albin Hermetter.   

Abstract

Molecular medicine leads us towards an understanding of some diseases at the molecular level. Examples are the analysis of immune complexes and receptor-antireceptor compounds used in clinical medicine. Structural changes of some serum proteins occur in inflammation, neoplasia and autoimmunity. The detection and analysis of such structural modifications may offer a new field for the diagnosis, prognosis and therapy of some diseases. Modern medicine requires new technologies with high sensitivity, specificity and applicability. For the first time in Austria we have combined fluorescence correlation spectroscope (FCS), surface enhanced laser desorption ionisation--time of flight (SELDI-TOF) and the molecular modelling and visualization system according to the computer enhanced programs. Experimental and computational methods are combined in such a way that clinical data can be interpreted by theoretical methods at a molecular level or vice versa, the computational output delivers input for new investigations. One method brings us single results. In view of the spectrum of parameters relevant to clinical entities, multiplexing is a new way of development. Since the technologies are new, the scientifically interested reader should be informed about the matters arising.

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Year:  2007        PMID: 17427009     DOI: 10.1007/s10354-007-0383-0

Source DB:  PubMed          Journal:  Wien Med Wochenschr        ISSN: 0043-5341


  18 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Ultrasensitive detection and identification of fluorescent molecules by FCS: impact for immunobiology.

Authors:  Z Földes-Papp; U Demel; G P Tilz
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-25       Impact factor: 11.205

3.  MolSurfer: A macromolecular interface navigator.

Authors:  Razif R Gabdoulline; Rebecca C Wade; Dirk Walther
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

Review 4.  Computational tools for protein modeling.

Authors:  D Xu; Y Xu; E C Uberbacher
Journal:  Curr Protein Pept Sci       Date:  2000-07       Impact factor: 3.272

5.  iPfam: visualization of protein-protein interactions in PDB at domain and amino acid resolutions.

Authors:  Robert D Finn; Mhairi Marshall; Alex Bateman
Journal:  Bioinformatics       Date:  2004-09-07       Impact factor: 6.937

6.  Diagnostic potential of tear proteomic patterns in Sjögren's syndrome.

Authors:  Naohisa Tomosugi; Kazuko Kitagawa; Nobuo Takahashi; Susumu Sugai; Isao Ishikawa
Journal:  J Proteome Res       Date:  2005 May-Jun       Impact factor: 4.466

7.  Ovarian cancer in the proteomics era: diagnosis, prognosis, and therapeutics targets.

Authors:  E A Boyce; E C Kohn
Journal:  Int J Gynecol Cancer       Date:  2005 Nov-Dec       Impact factor: 3.437

8.  Serum protein fingerprinting coupled with artificial neural network distinguishes glioma from healthy population or brain benign tumor.

Authors:  Jian Liu; Shu Zheng; Jie-kai Yu; Jian-min Zhang; Zhe Chen
Journal:  J Zhejiang Univ Sci B       Date:  2005-01       Impact factor: 3.066

Review 9.  Knowledge-based protein modeling.

Authors:  M S Johnson; N Srinivasan; R Sowdhamini; T L Blundell
Journal:  Crit Rev Biochem Mol Biol       Date:  1994       Impact factor: 8.250

10.  Classification of cancer types by measuring variants of host response proteins using SELDI serum assays.

Authors:  Eric T Fung; Tai-Tung Yip; Lee Lomas; Zheng Wang; Christine Yip; Xiao-Ying Meng; Shanhua Lin; Fujun Zhang; Zhen Zhang; Daniel W Chan; Scot R Weinberger
Journal:  Int J Cancer       Date:  2005-07-10       Impact factor: 7.396

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  1 in total

Review 1.  MALDI imaging mass spectrometry: state of the art technology in clinical proteomics.

Authors:  Julien Franck; Karim Arafah; Mohamed Elayed; David Bonnel; Daniele Vergara; Amélie Jacquet; Denis Vinatier; Maxence Wisztorski; Robert Day; Isabelle Fournier; Michel Salzet
Journal:  Mol Cell Proteomics       Date:  2009-05-18       Impact factor: 5.911

  1 in total

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