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PeptideBERT: A Language Model based on Transformers for Peptide Property
  Prediction

PeptideBERT: A Language Model based on Transformers for Peptide Property Prediction

28 August 2023
Chakradhar Guntuboina
Adrita Das
P. Mollaei
Seongwon Kim
A. Farimani
ArXivPDFHTML

Papers citing "PeptideBERT: A Language Model based on Transformers for Peptide Property Prediction"

4 / 4 papers shown
Title
Multi-Objective-Guided Discrete Flow Matching for Controllable Biological Sequence Design
Multi-Objective-Guided Discrete Flow Matching for Controllable Biological Sequence Design
Tong Chen
Yinuo Zhang
Sophia Tang
Pranam Chatterjee
118
2
0
11 May 2025
Mapping the Space of Chemical Reactions Using Attention-Based Neural
  Networks
Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks
P. Schwaller
Daniel Probst
Alain C. Vaucher
Vishnu H. Nair
D. Kreutter
Teodoro Laino
J. Reymond
168
227
0
09 Dec 2020
ProtTrans: Towards Cracking the Language of Life's Code Through
  Self-Supervised Deep Learning and High Performance Computing
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar
M. Heinzinger
Christian Dallago
Ghalia Rehawi
Yu Wang
...
Tamas B. Fehér
Christoph Angerer
Martin Steinegger
D. Bhowmik
B. Rost
DRL
44
932
0
13 Jul 2020
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical
  Reaction Prediction
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction
P. Schwaller
Teodoro Laino
John McGuinness
A. Horváth
Constantine Bekas
A. Lee
91
730
0
06 Nov 2018
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