JCO Clin Cancer Inform July 2020 PMID 32667823

HLA-Arena: A Customizable Environment for the Structural Modeling and Analysis of Peptide-HLA Complexes for Cancer Immunotherapy.

Dinler A Antunes, Jayvee R Abella, Sarah Hall-Swan, Didier Devaurs, Anja Conev, Mark Moll, Gregory Lizée, Lydia E Kavraki

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Mentions

Peak: 4 in Jul 2020

across 2 sources since Jul 2020

Extended reach

113,974

potential audience

Total likes

Video views

452

Mentions per month

Jul 2020 – Aug 2020

Where it's discussed

X / Twitter5 posts
YouTube2 videos

AI synopsis

What people are saying

The group shows strong support for the article, with statements like 'super easy to use' and mentions of the tool facilitating structural modeling, reflecting enthusiasm and recognition of its significance. The tone and specific mentions of workflows and applications convey both technical engagement and optimism about its potential to influence cancer immunotherapy research.

AgreementModerate agreement

Most discussions express strong support and approval for the publication, emphasizing its usefulness and potential in cancer immunotherapy.

InterestHigh interest

The comments indicate high interest, with users showing enthusiasm and curiosity about the tool's applications and ease of use.

EngagementHigh engagement

Numerous posts detail experiences with the platform, such as modeling a peptide/HLA structure, and highlight its user-friendliness, demonstrating deep engagement.

ImpactHigh impact

Discussions suggest that the tool could significantly advance personalized cancer treatments, with phrases like 'great work' and references to improved peptide-target selection emphasizing its potential high impact.

Abstract in brief

HLAArena is a customizable computational platform built with Jupyter Notebook and Docker that aids in modeling and analyzing peptide-HLA complexes, which are crucial for cancer immunotherapy.
It integrates various tools like APEGen, DINC, MODELLER, and MHCflurry, supporting diverse tasks such as structural prediction, binding analysis, and virtual peptide screening to overcome the limited availability of experimentally known structures.
Demonstrated through three workflows, HLAArena enhances geometry prediction, binding affinity estimation, and large-scale peptide screening, showcasing its potential to improve immunotherapy research by enabling comprehensive structural analysis within larger computational environments.]

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All mentions

HLA-Arena Structural Analysis for Cancer Immunotherapy

This is the second part of a tutorial on HLAArena, a customizable platform for modeling and analyzing peptide-HLA complexes, supporting cancer immunotherapy research through structural prediction and binding analysis.

AntunesLab · Jul 25, 2020 236 views

HLAArena Tutorial Part 1: Structural Modeling of Peptide-HLA Complexes

This is the first part of a video tutorial on HLAArena, a customizable platform built with Jupyter Notebook and Docker for modeling and analyzing peptide-HLA complexes, essential for cancer immunotherapy research.

AntunesLab · Jul 25, 2020 216 views

Journal of Clinical Oncology

@JCO_ASCO · X

RT @RiceCompSci: Rice CompSci researchers, including @DinlerAntunes & Lydia Kavraki, outline their research on #HLAarena & new structure-ba…

Aug 19, 2020 · 1 share · 54,941 followers View post →

Rice Computer Science

@RiceCompSci · X

Aug 19, 2020 · 3 likes · 1 share · 2,163 followers View post →

Journal of Clinical Oncology

@JCO_ASCO · X

D. Antunes et al outline the development of structure-based methods to improve peptide-target selection in personalized cancer immunotherapy https://t.co/g2g0nj98Zz #JCOCCI https://t.co/8bByg8OaTa

Aug 4, 2020 · 54,941 followers View post →

Tim O'Donnell

@timodonnell · X

Just used HLA-Arena to model a peptide/MHC structure - super easy to use, great work @DinlerAntunes et al! https://t.co/CaZiRFg2bG

Jul 24, 2020 · 583 followers View post →

Paperbirds_Oncology

@PaperbirdsO · X

Jul 16, 2020 · 891 followers View post →