6 citations · 11 across the 5 of their papers we have counts for
12 papers
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing
Gian Marco Visani, William Galvin, Michael Neal Pun +1
Accurately modeling protein 3D structure is essential for the design of functional proteins. An important sub-task of structure modeling is protein side-chain packing: predicting t…
Learning the shape of protein micro-environments with a holographic convolutional neural network
Michael N. Pun, Andrew Ivanov, Quinn Bellamy +5
Proteins play a central role in biology from immune recognition to brain activity. While major advances in machine learning have improved our ability to predict protein structure f…
Risk-utility tradeoff shapes memory strategies for evolving patterns
Oskar H Schnaack, Luca Peliti, Armita Nourmohammad
Keeping a memory of evolving stimuli is ubiquitous in biology, an example of which is immune memory for evolving pathogens. However, learning and memory storage for dynamic pattern…
Learning and organization of memory for evolving patterns
Oskar H Schnaack, Luca Peliti, Armita Nourmohammad
Storing memory for molecular recognition is an efficient strategy for responding to external stimuli. Biological processes use different strategies to store memory. In the olfactor…
Deep generative selection models of T and B cell receptor repertoires with soNNia
Giulio Isacchini, Aleksandra M Walczak, Thierry Mora +1
Subclasses of lymphocytes carry different functional roles to work together to produce an immune response and lasting immunity. Additionally to these functional roles, T and B-cell…
Dynamics of B-cell repertoires and emergence of cross-reactive responses in COVID-19 patients with different disease severity
Zachary Montague, Huibin Lv, Jakub Otwinowski +12
COVID-19 patients show varying severity of the disease ranging from asymptomatic to requiring intensive care. Although a number of SARS-CoV-2 specific monoclonal antibodies have be…