Dinler Antunes

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Assistant Professor of Computational Biology

University of Houston

United States

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About

Dinler Antunes is an Assistant Professor of Computational Biology at the University of Houston, USA. His research interests encompass various aspects of computational biology, including the modeling of T cell receptor and peptide-MHC complexes, structural studies of immune checkpoints, and the application of deep learning in biosciences. His recent articles highlight advancements in the understanding of protein dynamics, immunologic responses, and computational frameworks for analyzing biological structures.

Recent Grants

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Structural modeling and analysis of peptide-HLA complexes for cancer immunotherapy applications

Open Date: 2018-12-01

Close Date: 2019-11-01

Articles (14)

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Collaborators (13)

Hussein A. Abbas

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Sung-Eun Lee

SOUTH KOREA

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Amirali Aghazadeh

Assistant Professor

Georgia Institute of Technology

UNITED STATES

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Maison Grefe

UNITED STATES

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Rice University

UNITED STATES

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Immo Prinz

University Medical Center Hamburg-Eppendorf

GERMANY

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Gregory Lizee

Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Didier Devaurs

Lecturer

University Of Strathclyde

UNITED KINGDOM

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Dinler Antunes

Research Interests

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About

Recent Grants

Articles (14)

FGF14 Peptide Derivative Differentially Regulates Nav1.2 and Na<sub>v</sub>1.6 Function

Strengths and limitations of web servers for the modeling of TCRpMHC complexes

Transfer learning improves pMHC kinetic stability and immunogenicity predictions

The Role of Vimentin Peptide Citrullination in the Structure and Dynamics of HLA-DRB1 Rheumatoid Arthritis Risk-Associated Alleles

Computational and atomistic studies applied to the understanding of the structural and behavioral features of the immune checkpoint HLA-G molecule and gene

EnGens: a computational framework for generation and analysis of representative protein conformational ensembles

Immunologic Predictors for Clinical Responses during Immune Checkpoint Blockade in Patients with Myelodysplastic Syndromes

Individual Epitope-Specific CD8+ T Cell Immune Responses Are Shaped Differently during Chronic Viral Infection

Current progress and open challenges for applying deep learning across the biosciences

DINC-COVID: A webserver for ensemble docking with flexible SARS-CoV-2 proteins

Markov state modeling reveals alternative unbinding pathways for peptide-MHC complexes.

Structural Modeling and Molecular Dynamics of the Immune Checkpoint Molecule HLA-G.

Computational analysis of complement inhibitor compstatin using molecular dynamics.

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

Collaborators (13)

Hussein A. Abbas

Sung-Eun Lee

Amirali Aghazadeh

Maison Grefe

Koichi Takahashi

Lydia Kavraki

Jia Zhou

Vicky Yao

Gheath Alatrash

Cecilia Clementi

Immo Prinz

Gregory Lizee

Didier Devaurs

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