FilamenTech offers multiscale muscle modeling software and data analysis tools for human muscle research and drug discovery. Their solutions help researchers understand muscle dynamics from protein interactions to organ function, and develop effective treatments for myopathies. The company also provides guidance on experimental design and introduces new standards in experimental procedures.
Funding
Funding not disclosed
Founders
Product
Problem
Current methods for studying muscle dynamics and developing treatments for myopathies are time-consuming and costly, often lacking the ability to translate findings across different scales of biological organization, from molecular interactions to whole-organ function. This makes it difficult to predict the effects of drugs and genetic mutations on muscle behavior and to develop effective, personalized treatments.
Solution
FilamenTech offers the MUSICO Platform, a multiscale computational modeling platform designed to simulate muscle structure and function, integrating data from molecular kinetics to whole-organ behavior. The platform enables researchers to expedite and reduce the cost of muscle research and drug discovery by providing tools to predict the effects of drugs, genetic mutations, and other factors on muscle behavior. By coupling molecular-level simulations with finite element solvers, MUSICO facilitates the translation of findings across biological scales, enabling the development of personalized treatment strategies for myopathies.
Target Audience
The primary target audience includes researchers in human muscle research, drug discovery companies focused on myopathies, and medical professionals seeking personalized treatment strategies for muscle diseases.
Features
- Multiscale computational models integrating experimental data from molecular interactions to whole organs
- Submodules for simulating experiments in solution (stopped flow, titration, ATPase)
- Capabilities for modeling calcium regulation in motility assays
- Realistic modeling of sarcomere structure and function in muscle fibers
- Prediction of X-ray diffraction patterns of contracting muscle
- Coupling with FE solvers for translating molecular-level effects to muscle tissues and whole organs
- Tools for connecting patient-specific genetics data with multiscale experiments
- Written in C++ for energy efficiency