molecular modeling

Synthesis, biological evaluation and molecular modeling studies on novel quinonoid inhibitors of CDC25 phosphatases

The cell division cycle 25 phosphatases (CDC25A, B, and C; E.C. 3.1.3.48) are key regulator of the cell cycle in human cells. Their aberrant expression has been associated with the insurgence and development of various types of cancer, and with a poor clinical prognosis. Therefore, CDC25 phosphatases are a valuable target for the development of small molecule inhibitors of therapeutic relevance. Here, we used an integrated strategy mixing organic chemistry with biological investigation and molecular modeling to study novel quinonoid derivatives as CDC25 inhibitors.

RIP1-HAT1-SirT complex identification and targeting in treatment and prevention of cancer

Purpose: Alteration in cell death is a hallmark of cancer. A functional role regulating survival, apoptosis, and necroptosis has been attributed to RIP1/3 complexes.Experimental Design: We have investigated the role of RIP1 and the effects of MC2494 in cell death induction, using different methods as flow cytometry, transcriptome analysis, immunoprecipitation, enzymatic assays, transfections, mutagenesis, and in vivo studies with different mice models.Results: Here, we show that RIP1 is highly expressed in cancer, and we define a novel RIP1/3-SIRT1/2-HAT1/4 complex.

In Memory of Maurizio Botta: his Contribution to the Development of Computer-Aided Drug Design

Maurizio Botta was born in Manziana, near Rome (Italy), on May 1950. He built his background in chemistry at Sapienza University of Rome, and then, he received his Ph.D. in 1979 at the University of Brunswick (Canada) working at the total synthesis of complex natural products under the supervision of Prof. Karel Wiesner. From 1980 to 1987, he was a Researcher at the Sapienza University of Roma, and thanks to a NATO grant, he spent one year in 1985–1986 working as a postdoctoral associate in the group of Prof.

Teaching and learning computational drug design: student investigations of 3D quantitative structure–activity relationships through web applications

The increasing use of information technology in the discovery of new molecular entities encourages the use of modern molecular-modeling tools to help teach important concepts of drug design to chemistry and pharmacy undergraduate students. In particular, statistical models such as quantitative structure activity relationships (QSAR)—often as its 3-D QSAR variant—are commonly used in the development and optimization of a leading compound.

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