# Tuning the kinetics of intracellular transport

Source: [Tuning the kinetics of intracellular transport](<https://www.sota2.com/research/paper/68fa47971e209131ce9294ce>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T06:25:27.350Z

Authors: Ardra Suchitran, Sreekanth K Manikandan

Published: 2024-07-26T14:45:49.000Z

## Abstract

A variety of complex mechanisms, from chemical reaction pathways to active fluctuations, orchestrate molecular transport in intracellular environments. Despite significant recent progress in visualizing and probing these processes, little is known about how tunable the resulting dynamics is through external physical controllers. Here, we demonstrate that coarse-grained, reinforcement learning-based protocols can be developed to achieve highly localized and targeted cargo transport by kinesin motors on intracellular tracks. These protocols can be implemented in practice using optical tweezers, and their feasibility is showcased within experimentally relevant parameter regimes. Our results open new avenues for targeted control of intracellular transport processes, especially when opportunities for control are limited.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2407.18784>)

[PDF](<https://arxiv.org/pdf/2407.18784.pdf>)