1801787-56-3Relevant articles and documents
Efficient Syntheses of Diverse, Medicinally Relevant Targets Planned by Computer and Executed in the Laboratory
Klucznik, Tomasz,Mikulak-Klucznik, Barbara,McCormack, Michael P.,Lima, Heather,Szymku?, Sara,Bhowmick, Manishabrata,Molga, Karol,Zhou, Yubai,Rickershauser, Lindsey,Gajewska, Ewa P.,Toutchkine, Alexei,Dittwald, Piotr,Startek, Micha? P.,Kirkovits, Gregory J.,Roszak, Rafa?,Adamski, Ariel,Sieredzińska, Bianka,Mrksich, Milan,Trice, Sarah L.J.,Grzybowski, Bartosz A.
supporting information, p. 522 - 532 (2018/03/21)
The Chematica program was used to autonomously design synthetic pathways to eight structurally diverse targets, including seven commercially valuable bioactive substances and one natural product. All of these computer-planned routes were successfully executed in the laboratory and offer significant yield improvements and cost savings over previous approaches, provide alternatives to patented routes, or produce targets that were not synthesized previously. Although computers have demonstrated the ability to challenge humans in various games of strategy, their use in the automated planning of organic syntheses remains unprecedented. As a result of the impact that such a tool could have on the synthetic community, the past half century has seen numerous attempts to create in silico chemical intelligence. However, there has not been a successful demonstration of a synthetic route designed by machine and then executed in the laboratory. Here, we describe an experiment where the software program Chematica designed syntheses leading to eight commercially valuable and/or medicinally relevant targets; in each case tested, Chematica significantly improved on previous approaches or identified efficient routes to targets for which previous synthetic attempts had failed. These results indicate that now and in the future, chemists can finally benefit from having an “in silico colleague” that constantly learns, never forgets, and will never retire. Multistep synthetic routes to eight structurally diverse and medicinally relevant targets were planned autonomously by the Chematica computer program, which combines expert chemical knowledge with network-search and artificial-intelligence algorithms. All of the proposed syntheses were successfully executed in the laboratory and offer substantial yield improvements and cost savings over previous approaches or provide the first documented route to a given target. These results provide the long-awaited validation of a computer program in practically relevant synthetic design.
INHIBITORS OF WDR5 PROTEIN-PROTEIN BINDING
-
, (2017/09/15)
The present application is directed to compounds of Formula I: compounds comprising these compounds and their uses, for example as medicaments for the treatment of diseases, disorders or conditions mediated or treatable by inhibition of binding between WDR5 protein and its binding partners.
Structure-Based Optimization of a Small Molecule Antagonist of the Interaction between WD Repeat-Containing Protein 5 (WDR5) and Mixed-Lineage Leukemia 1 (MLL1)
Getlik, Matth?us,Smil, David,Zepeda-Velázquez, Carlos,Bolshan, Yuri,Poda, Gennady,Wu, Hong,Dong, Aiping,Kuznetsova, Ekaterina,Marcellus, Richard,Senisterra, Guillermo,Dombrovski, Ludmila,Hajian, Taraneh,Kiyota, Taira,Schapira, Matthieu,Arrowsmith, Cheryl H.,Brown, Peter J.,Vedadi, Masoud,Al-Awar, Rima
, p. 2478 - 2496 (2016/04/10)
WD repeat-containing protein 5 (WDR5) is an important component of the multiprotein complex essential for activating mixed-lineage leukemia 1 (MLL1). Rearrangement of the MLL1 gene is associated with onset and progression of acute myeloid and lymphoblastic leukemias, and targeting the WDR5-MLL1 interaction may result in new cancer therapeutics. Our previous work showed that binding of small molecule ligands to WDR5 can modulate its interaction with MLL1, suppressing MLL1 methyltransferase activity. Initial structure-activity relationship studies identified N-(2-(4-methylpiperazin-1-yl)-5-substituted-phenyl) benzamides as potent and selective antagonists of this protein-protein interaction. Guided by crystal structure data and supported by in silico library design, we optimized the scaffold by varying the C-1 benzamide and C-5 substituents. This allowed us to develop the first highly potent (Kdisp 100 nM) small molecule antagonists of the WDR5-MLL1 interaction and demonstrate that N-(4-(4-methylpiperazin-1-yl)-3′-(morpholinomethyl)-[1,1′-biphenyl]-3-yl)-6-oxo-4-(trifluoromethyl)-1,6-dihydropyridine-3-carboxamide 16d (OICR-9429) is a potent and selective chemical probe suitable to help dissect the biological role of WDR5.
