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0028662507
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Macromolecular bioactivity - Is it resonant interaction between macromolecules - Theory and applications
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Basic principles of photodynamic therapy
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Endogenous protoporphyrin ix, a clinically useful photosensitizer for photodynamic therapy
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Porphyrins and bile pigments
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Martin, D.W.1
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Factors affecting aminolaevulinic acid-induced generation of protoporphyrin ix
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General model of pseudopotentials
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Resonant recognition model and protein topography - Model studies with myoglobin, hemoglobin and lysozyme
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Cosic, I., Hodder, A. N., Aguilar, M. I., Hearn, M. T. W., Resonant recognition model and protein topography - model studies with myoglobin, hemoglobin and lysozyme. Eur J Biochem, 198(1): p. 113-119, 1991.
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Virtual spectroscopy for fun and profit
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Protein sequences analysis using the rrm model and wavelet transform methods: A comparative study
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Cosic, I., deTrad, C. H., Fang, Q., Akay, M., Protein sequences analysis using the rrm model and wavelet transform methods: A comparative study, in IEEE-EMBS Asia Pacific Conf. Biomed Eng. p. 405-406, 2000.
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Cosic, I.1
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0026115499
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'Hot spot' amino acid distribution in ha-ras oncogene product p21: Relationship to guanine binding site
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Cosic, I., Hearn, M. T. W., 'hot spot' amino acid distribution in ha-ras oncogene product p21: Relationship to guanine binding site. J. Mol. Recog., 4: p. 57-46, 1991.
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Prediction of hot spots in interleukin-2 based on informational spectrum characteristics of growth-regulating factors - Comparison with experimental-data
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Cosic, I., Pavlovic, M., Vojisavljevic, V., Prediction of hot spots in interleukin-2 based on informational spectrum characteristics of growth-regulating factors - comparison with experimental-data. Biochimie, 71(3): p. 333-342, 1989.
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0031654398
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Antisense homology boxes coinicide with the 'hot spot' regions predicted by resonant recognition theory
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Barayani, L., Cosic, I., Campbell, W., Deretey, E., Deretey, V., Okada, N., Okada, H., Antisense homology boxes coinicide with the 'hot spot' regions predicted by resonant recognition theory. in Proc. 2nd Intl Conf Bioelectromagn. 1998.
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0033324271
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Modification of the rrm model using wavelets transform and ionization constant to predict protein active sites
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Cosic, I., Fang, Q., Pirogova, E., Modification of the rrm model using wavelets transform and ionization constant to predict protein active sites. Proc. 21st Ann. Conf. IEEE EMBS, 21(2): p. 1215, 1999.
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0008838785
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Prediction of the active sites of the fibroblast growth factors using continuous wavelet transform and the resonant recognition model
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Fang, Q., Cosic, I., Prediction of the active sites of the fibroblast growth factors using continuous wavelet transform and the resonant recognition model. Proc. Inaugural Conf. Victorian Chapter IEEE EMBS, p. 211-214, 1999.
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Investigation of the structural and functional relationship of oncogene proteins
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Pirogova, E., Akay M., Cosic I., Investigation of the structural and functional relationship of oncogene proteins. Proceedings of the IEEE, 2002. 90(12): p. 1859-1867.
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0034646915
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The resonant recognition model (rrm) predicts amino acid residues in highly conserved regions of the hormone prolactin (prl)
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de Trad, C. H., Fang, Q., Cosic, I., The resonant recognition model (rrm) predicts amino acid residues in highly conserved regions of the hormone prolactin (prl). Biophys Chem, 84(2): p. 149-157, 2000.
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