Combining hypothesis-and data-driven neuroscience modeling in FAIR workflows

O Eriksson, US Bhalla, KT Blackwell, SM Crook… - Elife, 2022 - elifesciences.org
Modeling in neuroscience occurs at the intersection of different points of view and
approaches. Typically, hypothesis-driven modeling brings a question into focus so that a …

Cadherin clusters stabilized by a combination of specific and nonspecific cis-interactions

CJ Thompson, Z Su, VH Vu, Y Wu, DE Leckband… - Elife, 2020 - elifesciences.org
We demonstrate a combined experimental and computational approach for the quantitative
characterization of lateral interactions between membrane-associated proteins. In particular …

Contextualizing protein representations using deep learning on protein networks and single-cell data

MM Li, Y Huang, M Sumathipala, MQ Liang… - bioRxiv, 2023 - biorxiv.org
Understanding protein function and developing molecular therapies require deciphering the
cell types in which proteins act as well as the interactions between proteins. However …

Sequence-defined macrocycles for understanding and controlling the build-up of hierarchical order in self-assembled 2D arrays

JR Dobscha, HD Castillo, Y Li, RE Fadler… - Journal of the …, 2019 - ACS Publications
Anfinsen's dogma that sequence dictates structure is fundamental to understanding the
activity and assembly of proteins. This idea has been applied to all manner of oligomers but …

Surface plasmon resonance study of interaction between lactoferrin and naringin

NM Nunes, HMC de Paula, YL Coelho, LHM da Silva… - Food chemistry, 2019 - Elsevier
Lactoferrin (LF) is a glycoprotein that serves as a potential vehicle for small bioactive
molecules in food. In an effort to improve this functionality, the kinetic and thermodynamic …

Understanding the functional role of membrane confinements in TNF-mediated signaling by multiscale simulations

Z Su, K Dhusia, Y Wu - Communications Biology, 2022 - nature.com
The interaction between TNFα and TNFR1 is essential in maintaining tissue development
and immune responses. While TNFR1 is a cell surface receptor, TNFα exists in both soluble …

Computational studies of protein–protein dissociation by statistical potential and coarse-grained simulations: A case study on interactions between colicin E9 …

Z Su, Y Wu - Physical Chemistry Chemical Physics, 2019 - pubs.rsc.org
Proteins carry out their diverse functions in cells by forming interactions with each other. The
dynamics of these interactions are quantified by the measurement of association and …

A computational model for understanding the oligomerization mechanisms of TNF receptor superfamily

Z Su, Y Wu - Biophysical Journal, 2020 - cell.com
By recognizing members in the tumor necrosis factor (TNF) receptor superfamily, TNF ligand
proteins function as extracellular cytokines to activate various signaling pathways involved …

[HTML][HTML] A multiscale study on the mechanisms of spatial organization in ligand-receptor interactions on cell surfaces

Z Su, K Dhusia, Y Wu - Computational and Structural Biotechnology Journal, 2021 - Elsevier
The binding of cell surface receptors with extracellular ligands triggers distinctive signaling
pathways, leading into the corresponding phenotypic variation of cells. It has been found …

A multiscale model for the self-assembly of coat proteins in bacteriophage MS2

B Wang, J Zhang, Y Wu - Journal of chemical information and …, 2019 - ACS Publications
The self-assembly of viral capsids is an essential step to the formation of infectious viruses.
Elucidating the kinetic mechanisms of how a capsid or virus-like particle assembles could …