PeptideBERT: A Language Model Based on Transformers for Peptide Property Prediction-Reference-Cited by-同舟云学术

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

Published:2023-11-13 Issue:46 Volume:14 Page:10427-10434
ISSN:1948-7185
Container-title:The Journal of Physical Chemistry Letters
language:en
Short-container-title:J. Phys. Chem. Lett.

Author:

Guntuboina Chakradhar¹,Das Adrita²,Mollaei Parisa³^ORCID,Kim Seongwon⁴,Barati Farimani Amir²⁴⁵^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States

2. Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States

3. Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States

4. Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States

5. Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States

Funder

Department of Mechanical Engineering, Carnegie Mellon University

Center for Machine Learning in Health, Carnegie Mellon University

Publisher

American Chemical Society (ACS)

Subject

General Materials Science,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.3c02398

Reference51 articles.

1. Introduction to Peptides and Proteins

2. Food Science and Technology;Damodaran S.,2008

3. Design of Peptides and Proteins

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4. A review of transformers in drug discovery and beyond;Journal of Pharmaceutical Analysis;2024-08

5. Prediction of Hemolytic Peptides and their Hemolytic Concentration (HC₅₀);2024-07-24

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