Yang Shen

Massachusetts Institute of Technology

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (18)

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (5)

Emilia A. Lubecka

Assistant Professor

University of Gdańsk

POLAND

View details

Thomas Hope

Professor

Northwestern University Feinberg School of Medicine

UNITED STATES

View details

Glenn Randall

University of Chicago

UNITED STATES

View details

Kathleen McAndrews

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

View details

Huiping Liu

Associate Professor

Northwestern University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Yang Shen

Research Interests

Explore related searches

Contact this professor

Articles (18)

Physics-driven structural docking and protein language models accelerate antibody screening and design for broad-spectrum antiviral therapy

Structure-informed protein language models are robust predictors for variant effects

Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment

Multimodal learning of noncoding variant effects using genome sequence and chromatin structure

Multimodal learning of noncoding variant effects using genome sequence and chromatin structure

Circulating ACE2-expressing extracellular vesicles block broad strains of SARS-CoV-2

Machine learning-assisted elucidation of CD81–CD44 interactions in promoting cancer stemness and extracellular vesicle integrity

Predicting protein structure from single sequences

Machine learning-assisted elucidation of CD81-CD44 interactions in promoting cancer stemness and extracellular vesicle integrity

Cross-modality and self-supervised protein embedding for compound–protein affinity and contact prediction

Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations

Circulating ACE2-expressing extracellular vesicles block broad strains of SARS-CoV-2

ICAM1 initiates CTC cluster formation and trans-endothelial migration in lung metastasis of breast cancer

TALE: Transformer-based protein function Annotation with joint sequence–Label Embedding

Explainable Deep Relational Networks for Predicting Compound–Protein Affinities and Contacts

De Novo Protein Design for Novel Folds Using Guided Conditional Wasserstein Generative Adversarial Networks

Bayesian Active Learning for Optimization and Uncertainty Quantification in Protein Docking

Energy‐based graph convolutional networks for scoring protein docking models

Collaborators (5)

Emilia A. Lubecka

Thomas Hope

Glenn Randall

Kathleen McAndrews

Huiping Liu

Make your next move.