33 research outputs found
Silver(I) triflate-catalyzed protocol for the post-ugi synthesis of spiroindolines
A silver(I) triflate-catalyzed protocol for the post-Ugi synthesis of tetracyclic spiroindolines has been developed. The protocol worked best for indole-3-carbaldehyde-derived Ugi adducts obtained using anilines and 3-aryl propiolic acids. Thus, it is complementary to the previous cationic gold-catalyzed procedure that was developed for analogues Ugi substrates derived from aliphatic amines and 3-alkyl propiolic acids. Furthermore, we have demonstrated that under our new settings this domino Friedel-Crafts ipso cyclization / imine trapping process could be efficiently combined with the preceding four-component Ugi reaction into a two-step one-pot transformation
Allosteric Indole Amide Inhibitors of p97: Identification of a Novel Probe of the Ubiquitin Pathway
A high-throughput screen to discover inhibitors of p97 ATPase activity identified an indole amide that bound to an allosteric site of the protein. Medicinal chemistry optimization led to improvements in potency and solubility. Indole amide 3 represents a novel uncompetitive inhibitor with excellent physical and pharmaceutical properties that can be used as a starting point for drug discovery efforts
Transmol: Repurposing Language Model for Molecular Generation
Recent advances in convolutional neural networks have inspired the application of deep learning to other disciplines. Even though image processing and natural language processing have turned out to be the most successful, there are many other areas that have benefited, like computational chemistry in general and drug design in particular. From 2018 the scientific community has seen a surge of methodologies related to the generation of diverse molecular libraries using machine learning. However, no algorithm used an attention mechanisms for de novo molecular generation. Here we employ a variant of transformers, a recent NLP architecture, for this purpose. We have achieved a statistically significant increase in some of the core metrics of the MOSES benchmark. Furthermore, a novel way of generating libraries fusing two molecules as seeds has been described
TRANSMOL: REPURPOSING A LANGUAGE MODEL FOR MOLECULAR GENERATION
Recent advances in convolutional neural networks have inspired the application of deep learning to other
disciplines. Even though image processing and natural language processing have turned out to be the most
successful, there are many other domains that have also benefited; among them, life sciences in general
and chemistry and drug design in particular. In concordance with this observation, from 2018 the
scientific community has seen a surge of methodologies related to the generation of diverse molecular
libraries using machine learning. However to date, attention mechanisms have not been employed for
the problem of de novo molecular generation. Here we employ a variant of transformers, an architecture
recently developed for natural language processing, for this purpose. Our results indicate that the
adapted Transmol model is indeed applicable for the task of generating molecular libraries and leads to
statistically significant increases in some of the core metrics of the MOSES benchmark. The presented
model can be tuned to either input-guided or diversity-driven generation modes by applying a standard
one-seed and a novel two-seed approach, respectively. Accordingly, the one-seed approach is best
suited for the targeted generation of focused libraries composed of close analogues of the seed
structure, while the two-seeds approach allows us to dive deeper into under-explored regions of the
chemical space by attempting to generate the molecules that resemble both seeds. To gain more
insights about the scope of the one-seed approach, we devised a new validation workflow that involves
the recreation of known ligands for an important biological target vitamin D receptor. To further benefit
the chemical community, the Transmol algorithm has been incorporated into our cheML.io web
database of ML-generated molecules as a second generation on-demand methodolog
Synthesis of thiazolidine-2-thiones through a one-pot A³-coupling-carbon disulfide incorporation process
A copper-catalyzed two-step one-pot procedure for the synthesis of thiazolidine-2-thiones has been developed. The process involves a three-component coupling of an alkyne, an aldehyde, and an amine (A(3)-coupling) followed by trapping the resulting propargylamine with carbon disulfide and subsequent cyclization
Post-Ugi carbocyclization/fragmentation sequence for the synthesis of 6,7-dihydro-5H-pyrrolo[3,4-b]pyridin-5-ones
A two-step one-pot sequence, involving Ugi reaction followed by base-promoted carbocyclization accompanied by cleavage of the isocyanide-originated amide moiety, has been successfully elaborated in order to provide a fast access to 6,7-dihydro-5H-pyrrolo[3,4-b]pyridin-5-ones. When the cyclizations were run under air atmosphere a subsequent oxidation occurred producing oxidized 7-hydroxy-6,7-dihydro-5H-pyrrolo[3,4-b]pyridin-5-ones.status: publishe
Heck-Suzuki tandem reaction for the synthesis of 3-benzazepines
A novel procedure for the Heck-Suzuki tandem reaction suitable for the construction of nitrogen-containing medium rings was developed to provide access toward the 3-benzazepine framework
Three-component reaction of azulene, aryl glyoxal and 1,3-dicarbonyl compound for the synthesis of various azulene derivatives
A three-component reaction of an azulene, an aryl glyoxal and a 1,3-dicarbonyl compound has been elaborated to access a series of azulene derivatives. Some of these azulene-containing adducts were further subjected to post-MCR transformations to assemble azulene–heterocycle conjugates
Glyoxalase-based toolbox for the enantioselective synthesis of α-hydroxy carboxylic acids
We report highly enantioselective synthesis of L-α-hydroxy carboxylic acids (L-αHCAs) via enzymatic intramolecular Cannizzaro reaction of (hetero)aryl glyoxals in the presence of glutathione-independent human glyoxalase DJ-1. Combined with the optimized synthesis of D-αHCAs using glyoxalases I and II, this approach offers a general, scalable and operationally simple access to both enantiomers of α-hydroxy acids in moderate to excellent yields with uniformly high enantioselectivity.peerReviewe