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Found 5 papers, 2 papers with code
Contrastive losses as generalized models of global epistasis
Here we demonstrate that minimizing contrastive loss functions, such as the Bradley-Terry loss, is a simple and flexible technique for extracting the sparse latent function implied by global epistasis.
Learning the shape of protein micro-environments with a holographic convolutional neural network
Proteins play a central role in biology from immune recognition to brain activity.
Design of an optimal combination therapy with broadly neutralizing antibodies to suppress HIV-1
Lastly, we show that a cocktail of three bNAbs is necessary to suppress the chances of viral escape below 1%, and we predict the optimal composition of such a bNAb cocktail.
Dynamics of B-cell repertoires and emergence of cross-reactive responses in COVID-19 patients with different disease severity
Using single-cell sequencing, we verified reactivity of BCRs shared among individuals to SARS-CoV-2 epitopes.
Information-geometric optimization with natural selection
We summarize how natural selection moves a population along the non-euclidean gradient that is induced by the population on the fitness landscape (the natural gradient).
