Rachael Mansbach

Assistant Professor

Concordia University

Canada

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About

Rachael Mansbach is an Assistant Professor at Concordia University in Canada. Her research areas focus on molecular dynamics simulations, antimicrobial peptide design, and the communication structure of proteins related to SARS-CoV-2. Recent publications include studies on β-sheet forming antimicrobial peptides, optical shifts in chlorophyll-binding proteins, and the role of glycans in viral interactions. She is actively contributing to the understanding of protein folding and design through advanced computational methods.

Articles (12)

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2024

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2024

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2023

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2023

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2023

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2021

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (5)

Pedro D. Manrique

Assistant Professor

Florida Polytechnic University

UNITED STATES

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Tongye Shen

University of Tennessee

UNITED STATES

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Paolo Ruggerone

University of Cagliari

ITALY

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Robert Edwards

Associate Professor

Duke University

UNITED STATES

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Srirupa Chakraborty

Assistant Professor

Northeastern University

UNITED STATES

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Rachael Mansbach

Research Interests

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About

Articles (12)

In Silico Study of the Early Stages of Aggregation of β‐Sheet Forming Antimicrobial Peptide GL13K

Identification of Residues Potentially Involved in Optical Shifts in the Water-Soluble Chlorophyll a-Binding Protein through Molecular Dynamics Simulations

Inferring Pathways of Oxidative Folding from Prefolding Free Energy Landscapes of Disulfide-Rich Toxins

Network analysis uncovers the communication structure of SARS-CoV-2 spike protein identifying sites for immunogen design

Latent spaces for antimicrobial peptide design

A Spin-Glass Model for Semi-Supervised Community Detection

Exploring the Role of Glycans in the Interaction of SARS-CoV-2 RBD and Human Receptor ACE2

The SARS-CoV-2 Spike variant D614G favors an open conformational state

Effects of pH on an IDP conformational ensemble explored by molecular dynamics simulation

Predictive Rules of Efflux Inhibition and Avoidance in Pseudomonas aeruginosa

Machine Learning Algorithm Identifies an Antibiotic Vocabulary for Permeating Gram-Negative Bacteria

Discovery of Self-Assembling π-Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular Simulation

Collaborators (5)

Pedro D. Manrique

Tongye Shen

Paolo Ruggerone

Robert Edwards

Srirupa Chakraborty

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