Bidirectional LSTM model for detection of amyloid signaling motifs.
Project description
ASMscan-LSTM
Bidirectional LSTM model for detection of amyloid signaling motifs (ASMs).
Installation
pip install asmscan-lstm
Usage
from asmscanlstm import ASMscanLSTM
aa_seqs = [
"MEGRASGSARIYQAGGDQYIEE",
"VSLRAGAHDGGRIYQAVGDQYIYE",
"HASGHGRVFQSAGDQHITEH"
]
model = ASMscanLSTM()
pred, frags = model.predict(aa_seqs)
References
ASMscan-LSTM model is part of the ASMscan project:
- Not yet published.
ASMscan project is an extension of the ASMs analysis conducted with the PCFG-CM model:
-
W. Dyrka, M. Gąsior-Głogowska, M. Szefczyk, N. Szulc, "Searching for universal model of amyloid signaling motifs using probabilistic context-free grammars", BMC Bioinformatics, 22, 222, 2021.
-
W. Dyrka, M. Pyzik, F. Coste, H. Talibart, "Estimating probabilistic context-free grammars for proteins using contact map constraints", PeerJ, 7, e6559, 2019.
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