Nir Ben Tal
2 Papers
3 Citations
Nir Ben Tal is an academic researcher. The author has contributed to research in topics: Medicine & Deep learning. The author has an hindex of 1, co-authored 2 publications.
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Papers
EvoRator: Prediction of Residue-level Evolutionary Rates from Protein Structures Using Machine Learning.
TL;DR: EvoRator as mentioned in this paper is a web server that implements a machine-learning regression algorithm to predict site-specific evolutionary rates from protein structures, which can be used to detect sites that are likely conserved due to functional constraints.
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EvoRator2: Predicting Site-specific Amino Acid Substitutions Based on Protein Structural Information Using Deep Learning.
TL;DR: In this paper , a deep learning algorithm was proposed to predict which amino acids are tolerated at any given site, based exclusively on protein structural information mined from atomic coordinate files, and the algorithm obtained satisfying results for the prediction of position-weighted scoring matrices (PSSM).