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Protein language models trained on multiple sequence alignments learn
  phylogenetic relationships

Protein language models trained on multiple sequence alignments learn phylogenetic relationships

29 March 2022
Umberto Lupo
Damiano Sgarbossa
Anne-Florence Bitbol
ArXivPDFHTML

Papers citing "Protein language models trained on multiple sequence alignments learn phylogenetic relationships"

4 / 4 papers shown
Title
Understanding the Natural Language of DNA using Encoder-Decoder
  Foundation Models with Byte-level Precision
Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision
Aditya Malusare
Harish Kothandaraman
Dipesh Tamboli
N. Lanman
Vaneet Aggarwal
AI4CE
27
0
0
04 Nov 2023
Pairing interacting protein sequences using masked language modeling
Pairing interacting protein sequences using masked language modeling
Umberto Lupo
Damiano Sgarbossa
Anne-Florence Bitbol
21
9
0
14 Aug 2023
Progress and Challenges for the Application of Machine Learning for
  Neglected Tropical Diseases
Progress and Challenges for the Application of Machine Learning for Neglected Tropical Diseases
Chung Yuen Khew
Rahmad Akbar
Norfarhan Mohd. Assaad
18
1
0
02 Dec 2022
Generative power of a protein language model trained on multiple
  sequence alignments
Generative power of a protein language model trained on multiple sequence alignments
Damiano Sgarbossa
Umberto Lupo
Anne-Florence Bitbol
19
32
0
14 Apr 2022
1