A major biochemical goal is the ability to mimic nature in engineering highly specific protein-protein interactions. We previously devised a computational interactome screen to identify eight peptides that form four...
Deep generative models have shown the ability to devise both valid and novel chemistry, which could significantly accelerate the identification of bioactive compounds. Many current models, however, use molecular descriptors or...
A plethora of AI-based techniques now exists to conduct de novo molecule generation that can devise molecules conditioned towards a particular endpoint in the context of drug design. One popular approach is using reinforcement...
A plethora of AI-based techniques now exists to conduct de novo molecule generation that can devise molecules conditioned towards a particular endpoint in the context of drug design. One popular approach is using reinforcement...
Binuclear copper enzymes, such as tyrosinase and catechol oxidase, are involved in the melaninization and sclerotization processes. Understanding the mechanism of the diphenol oxidn. activity in these enzymes is crucial to...
Metalloproteins use small metal cations or metal containing cofactors to provide specific structural and reactive properties. Their high prevalence makes them of interest to scientists, and one way to study their role in...
Metalloproteins use metal cations or metal containing cofactors to confer specific structural and reactive properties to a protein. Their natural prevalence makes them of interest to scientists, and one way to study their roles...
Deep generative models have shown the ability to devise both valid and novel chemistry, which could significantly accelerate the identification of bioactive compounds. Many current models, however, use molecular descriptors or...
A major biochemical goal is the ability to mimic nature in engineering highly specific protein-protein interactions. We previously devised a computational interactome screen to identify eight peptides that form four...
Abstract: Deep generative models have shown the ability to devise both valid and novel chemistry, which could significantly accelerate the identification of bioactive compounds. Many current models, however, use molecular...