Integrating Dynamic Network Analysis with AI for Enhanced Epitope Prediction in PD-L1:Affibody Interactions-Reference-Cited by-同舟云学术

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Integrating Dynamic Network Analysis with AI for Enhanced Epitope Prediction in PD-L1:Affibody Interactions

Published:2024-08-15 Issue:34 Volume:146 Page:23842-23853
ISSN:0002-7863
Container-title:Journal of the American Chemical Society
language:en
Short-container-title:J. Am. Chem. Soc.

Author:

Gomes Diego E. B.¹^ORCID,Yang Byeongseon²³,Vanella Rosario²³^ORCID,Nash Michael A.²³^ORCID,Bernardi Rafael C.¹^ORCID

Affiliation:

1. Department of Physics, Auburn University, Auburn, Alabama 36849, United States

2. Institute of Physical Chemistry, Department of Chemistry, University of Basel, Basel 4058, Switzerland

3. Department of Biosystems Science and Engineering, ETH Zurich, Basel 4058, Switzerland

Funder

Division of Molecular and Cellular Biosciences

National Institute of General Medical Sciences

Swiss State Secretariat for Education, Research and Innovation

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/jacs.4c05869

Reference92 articles.

1. Immune Checkpoint Blockade: A Common Denominator Approach to Cancer Therapy

2. Anti–PD-1/PD-L1 therapy of human cancer: past, present, and future

3. Nivolumab versus Docetaxel in Advanced Nonsquamous Non–Small-Cell Lung Cancer

4. Nivolumab in Previously Untreated Melanoma withoutBRAFMutation

5. MPDL3280A (anti-PD-L1) treatment leads to clinical activity in metastatic bladder cancer

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