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Marjo Simonen

Researcher at Novartis

Publications -  10
Citations -  1471

Marjo Simonen is an academic researcher from Novartis. The author has contributed to research in topics: High-content screening & Bcl-2-associated X protein. The author has an hindex of 8, co-authored 10 publications receiving 1409 citations.

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Identification and characterization of NVP-BEZ235, a new orally available dual phosphatidylinositol 3-kinase/mammalian target of rapamycin inhibitor with potent in vivo antitumor activity

TL;DR: The preclinical data show that NVP-BEZ235 is a potent dual PI3K/mTOR modulator with favorable pharmaceutical properties, and the compound was well tolerated, displayed disease stasis when administered orally, and enhanced the efficacy of other anticancer agents when used in in vivo combination studies.
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SH3GLB, a new endophilin-related protein family featuring an SH3 domain.

TL;DR: It is demonstrated that a core coiled-coil-type region is required for the formation of SH3GLB homo- and/or heterodimers, whereas the SH3 domain is not involved in these interactions.
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Structural basis of BFL-1 for its interaction with BAX and its anti-apoptotic action in mammalian and yeast cells.

TL;DR: Molecular modeling showed that BFL-1 could have a similar core structure as BCL-xL, although both proteins share only the conserved B CL-2 homology domains (BH1 and BH2 domains), but otherwise have very limited sequence homology, particularly in the N-terminal region.
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The BH3 domain of Bax is sufficient for interaction of Bax with itself and with other family members and it is required for induction of apoptosis

TL;DR: Exhaustive Bax truncations containing BH3, but lacking BH1 and BH2 homology domains, interacted with the other family members markedly more strongly than full-length Bax, which may reflect conformational changes required for the interactions of full- length Bax.
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A microarray-based, integrated approach to identify novel regulators of cancer drug response and apoptosis.

TL;DR: A strategy to identify central regulators of cancer drug responses by combining the results of microarray experiments with efficient methods for phenotypic testing of candidate genes is devised.