Quantifying Allosteric Conformational Transitions in Multi-Domain Kinases via Coarse-Grained Molecular Dynamics
Understanding the thermodynamic landscapes driving allosteric activation in receptor tyrosine kinases remains computationally intensive. In this work, we integrate Markov State Models (MSMs) with enhanced sampling molecular dynamics to resolve sub-microsecond kinetic bottlenecks in intracellular kinase domain activation. Our structural pipeline highlights critical hydrophobic salt-bridge networks modulating long-range energetic coupling.
High-Throughput Profiling of Epigenetic Methylation Cascades using Long-Read Nanopore Sequencing
Accurate detection of 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) across dense tandem repeats requires calibrated basecalling algorithms. We benchmarked modified transformer-based neural network models against synthetic oligomer standards, achieving an overall calling accuracy exceeding 98.4% across heterogeneous chromatin domains.