39 citations · 70 across the 4 of their papers we have counts for
4 papers
Mimetic Neural Networks: A unified framework for Protein Design and Folding
Moshe Eliasof, Tue Boesen, Eldad Haber +2
Recent advancements in machine learning techniques for protein folding motivate better results in its inverse problem -- protein design. In this work we introduce a new graph mimet…
Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations
Iddo Drori, Darshan Thaker, Arjun Srivatsa +15
Proteins are the major building blocks of life, and actuators of almost all chemical and biophysical events in living organisms. Their native structures in turn enable their biolog…
High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures
Iddo Drori, Isht Dwivedi, Pranav Shrestha +13
We tackle the problem of protein secondary structure prediction using a common task framework. This lead to the introduction of multiple ideas for neural architectures based on sta…
Hierarchical self-organization of cytoskeletal active networks
Daniel Gordon, Anne Bernheim-Groswasser, Chen Keasar +1
The structural reorganization of the actin cytoskeleton is facilitated through the action of motor proteins that crosslink the actin filaments and transport them relative to each o…