rawMSA: End-to-end Deep Learning using raw Multiple Sequence Alignments
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DOI: 10.1371/journal.pone.0220182
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References listed on IDEAS
- Sheng Wang & Siqi Sun & Zhen Li & Renyu Zhang & Jinbo Xu, 2017. "Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-34, January.
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Cited by:
- Kabir, Md Wasi Ul & Hoque, Md Tamjidul, 2024. "DisPredict3.0: Prediction of intrinsically disordered regions/proteins using protein language model," Applied Mathematics and Computation, Elsevier, vol. 472(C).
- Nicolae Sapoval & Amirali Aghazadeh & Michael G. Nute & Dinler A. Antunes & Advait Balaji & Richard Baraniuk & C. J. Barberan & Ruth Dannenfelser & Chen Dun & Mohammadamin Edrisi & R. A. Leo Elworth &, 2022. "Current progress and open challenges for applying deep learning across the biosciences," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
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