Software & Data
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- Ramachandran basin in 5x5-bin that is generated from the CATH_S40 domains.
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- Package contains the trained models of the ESIDEN and the datasets to reproduce the results.
- Reference: Y.-C. Xu, et al.. Accurate prediction of protein torsion angles using evolutionary signatures and recurrent neural network, Scientific Reports 11, 21033 (2021). [Datasets]
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A general framework for deep neural network, and it includes the protocols to generate the best-so-far network for a given dataset without manually tuning the parameters.
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Protein folding using Modyfing (Lesria) from an amino acid sequence.
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Ramachandran basin (5x5 and 3x3 bins) derived from protein torsional angles (Φ and Ψ)
- Ramachandran basin in 5x5-bin for the CATH_S40 domains
- Ramachandran basin in 5x5-bin for the CATH_S40 domains
- Ramachandran basin in 3x3-bin for the SPOT-1D dataset
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Pipelines to run Lesria for folding protein and predict the tertiray structures.
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A data-driven predictor, in which all parameters of a neural network are optimized by a swarm of particles.
Copyright © Amo Technologies Inc. - All rights reserved
Nov 20, 2021
To install Lesria on your machine, please choose a package from the following list and download it.
Run the shell script in the terminal (on Unix-like system) if you download the DEB package. Copy the files to /usr/local or /usr/ if you download the pre-built tar ball. Please install the required dependencies in advance following the tutorials here.