Accurate prediction of peptide physicochemical properties and biological activities is critical for rational peptide design and high-throughput screening. However, current research is often constrained by heterogeneous data sources and inconsistent e...
-Synuclein (-syn) strains can serve as discriminators between Parkinson's disease (PD) and related -synucleinopathies. The relationship between -syn strain dynamics and clinical performance as patients transition from normal cognition (NC) to cogniti...
Perivascular adipose tissue (PVAT), an intriguing layer of fat surrounding blood vessels, regulates vascular tone and mediates vascular dysfunction through mechanisms that are not well understood. Here we show with single nucleus RNA-sequencing of th...
The ability to interpret, modify, and design DNA has driven many of the most significant advances in modern medicine, from diagnostics, biologics, and vaccines to cell and gene therapies. However, the inherent complexity of biological systems means t...
High-throughput drug combination screens motivate computational methods to identify synergistic pairs, yet synergy is typically quantified by heuristic scores (Bliss, HSA, Loewe, ZIP) that provide no statistical inference and can be unstable or undef...
Target discovery for IBD has traditionally relied on genetic associations, which lack the cellular resolution needed to identify novel, actionable, cell type-specific disease pathways. Here, we describe an integrated analytical and experimental frame...
Safe and effective gene delivery remains a central challenge for therapeutic applications. While non-viral and viral vectors have enabled substantial progress, their reliance on non-human components often triggers immune responses, limiting their use...
Inferring stable neural representations of motor cortical dynamics is essential for brain-computer interface (BCI) control. However, neural recordings during similar behaviors exhibit intrinsic variability across recording sessions, subjects, and tas...
Accurate splice site prediction is fundamental to understanding gene expression and its associated disorders. However, most existing models are biased toward frequent canonical sites, limiting their ability to detect rare but biologically important n...
Understanding protein function is an essential aspect of many biological applications. The exponential growth of protein sequence databases has created a critical bottleneck for structural homology detection. While billions of protein sequences have ...
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