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Linguistics-based formalization of the antibody language as a basis for antibody language models
by
Haug, Dag Trygve Truslew
, Greiff, Victor
, Sandve, Geir Kjetil
, Robert, Philippe A.
, Akbar, Rahmad
, Swiatczak, Bartlomiej
, Vu, Mai Ha
in
Amino acids
/ Antibodies
/ Antigens
/ Grammar
/ Immune system
/ Immunology
/ Jerne, Niels Kai (1911-1994)
/ Language
/ Linguistics
/ Machine learning
/ Natural language processing
/ Proteins
/ Semantics
2024
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Linguistics-based formalization of the antibody language as a basis for antibody language models
by
Haug, Dag Trygve Truslew
, Greiff, Victor
, Sandve, Geir Kjetil
, Robert, Philippe A.
, Akbar, Rahmad
, Swiatczak, Bartlomiej
, Vu, Mai Ha
in
Amino acids
/ Antibodies
/ Antigens
/ Grammar
/ Immune system
/ Immunology
/ Jerne, Niels Kai (1911-1994)
/ Language
/ Linguistics
/ Machine learning
/ Natural language processing
/ Proteins
/ Semantics
2024
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Linguistics-based formalization of the antibody language as a basis for antibody language models
by
Haug, Dag Trygve Truslew
, Greiff, Victor
, Sandve, Geir Kjetil
, Robert, Philippe A.
, Akbar, Rahmad
, Swiatczak, Bartlomiej
, Vu, Mai Ha
in
Amino acids
/ Antibodies
/ Antigens
/ Grammar
/ Immune system
/ Immunology
/ Jerne, Niels Kai (1911-1994)
/ Language
/ Linguistics
/ Machine learning
/ Natural language processing
/ Proteins
/ Semantics
2024
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Linguistics-based formalization of the antibody language as a basis for antibody language models
Journal Article
Linguistics-based formalization of the antibody language as a basis for antibody language models
2024
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Overview
Apparent parallels between natural language and antibody sequences have led to a surge in deep language models applied to antibody sequences for predicting cognate antigen recognition. However, a linguistic formal definition of antibody language does not exist, and insight into how antibody language models capture antibody-specific binding features remains largely uninterpretable. Here we describe how a linguistic formalization of the antibody language, by characterizing its tokens and grammar, could address current challenges in antibody language model rule mining.
Publisher
Nature Publishing Group
Subject
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