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Antibody Representation Learning for Drug Discovery

Antibody Representation Learning for Drug Discovery

5 October 2022
Lin Li
Esther Gupta
J. Spaeth
Leslie Shing
Tristan Bepler
R. Caceres
ArXivPDFHTML

Papers citing "Antibody Representation Learning for Drug Discovery"

5 / 5 papers shown
Title
S^2 ALM: Sequence-Structure Pre-trained Large Language Model for
  Comprehensive Antibody Representation Learning
S^2 ALM: Sequence-Structure Pre-trained Large Language Model for Comprehensive Antibody Representation Learning
Mingze Yin
Hanjing Zhou
Jialu Wu
Yiheng Zhu
Yuxuan Zhan
...
Hongxia Xu
Chang-Yu Hsieh
J. Chen
Tingjun Hou
Jiangxu Wu
77
0
0
20 Nov 2024
A Survey of Generative AI for de novo Drug Design: New Frontiers in
  Molecule and Protein Generation
A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation
Xiangru Tang
Howard Dai
Elizabeth Knight
Fang Wu
Yunyang Li
Tianxiao Li
Mark B. Gerstein
24
25
0
13 Feb 2024
PoET: A generative model of protein families as sequences-of-sequences
PoET: A generative model of protein families as sequences-of-sequences
Timothy F. Truong
Tristan Bepler
SLR
19
38
0
09 Jun 2023
On Pre-trained Language Models for Antibody
On Pre-trained Language Models for Antibody
Danqing Wang
Fei Ye
Zhou Hao
41
10
0
28 Jan 2023
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,489
0
23 Jan 2020
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