Amarda Shehu

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George Mason University

United States

Research Interests

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Recent Grants

Grant: Close

CCF: AF: Small: Novel Stochastic Optimization Algorithms to Advance the Treatment of Dynamic Molecular Systems

Open Date: 2014-07-01

Close Date: 2017-06-01

Grant: Close

Workshop: 2014 NSF CISE CAREER Proposal Writing Workshop

Open Date: 2013-12-15

Close Date: 2014-05-31

Grant: Close

CAREER: Probabilistic Methods for Addressing Complexity and Constraints in Protein Systems

Open Date: 2012-03-01

Close Date: 2017-02-28

Grant: Close

AF: Small: A Unified Computational Framework to Enhance the Ab-Initio Sampling of Native-Like Protein Conformations

Open Date: 2010-09-01

Close Date: 2014-08-31

Articles (16)

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2024

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2020

Collaborators (2)

Kazi Lutful Kabir

Assistant Professor

George Mason University

UNITED STATES

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Gideon Gogovi

Assistant Professor

Lehigh University

UNITED STATES

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Amarda Shehu

Research Interests

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Recent Grants

Articles (16)

Entangled Narratives: Insights from Social and Computer Sciences on National Artificial Intelligence Infrastructures

DNA breathing integration with deep learning foundational model advances genome-wide binding prediction of human transcription factors

Elucidating the Role of Wildtype and Variant FGFR2 Structural Dynamics in (Dys)Function and Disorder

A Comparative Analysis of Transformer-based Protein Language Models for Remote Homology Prediction

Adaptive Stochastic Optimization to Improve Protein Conformation Sampling

GOProFormer: A Multi-Modal Transformer Method for Gene Ontology Protein Function Prediction

Fewer Dimensions, More Structures for Improved Discrete Models of Dynamics of Free versus Antigen-Bound Antibody

Data Size and Quality Matter: Generating Physically-Realistic Distance Maps of Protein Tertiary Structures

Small molecule generation via disentangled representation learning

Improved Protein Decoy Selection via Non-Negative Matrix Factorization

Computing the Structural Dynamics of RVFV L Protein Domain in Aqueous Glycerol Solutions

Generating tertiary protein structures via interpretable graph variational autoencoders

Generative Adversarial Learning of Protein Tertiary Structures

Anomaly Detection-Based Recognition of Near-Native Protein Structures

Reducing Ensembles of Protein Tertiary Structures Generated De Novo via Clustering

Evaluating Autoencoder-Based Featurization and Supervised Learning for Protein Decoy Selection

Collaborators (2)

Kazi Lutful Kabir

Gideon Gogovi

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