Mycom Selection Software -

Mayekawa's MYCOMW and MySelect software tools enable engineers to select and calculate performance for screw and reciprocating compressors using various refrigerants. The software provides technical data, including manuals and dimension drawings, with access requiring registration via the Mayekawa authentication system. For more details, visit Reciprocating Compressors | MAYEKAWA Global (MYCOM)

System Longevity: Over-sizing or under-sizing a compressor can lead to premature wear or "short-cycling." The software ensures the unit operates within its optimal design envelope.

Enter Mycom Selection Software. As the digital backbone of one of the most trusted names in refrigeration (Mycom, now part of the Mayekawa group), this software suite has revolutionized how engineers specify equipment. This article provides a deep dive into what the software is, why it matters, and how to leverage it for maximum system performance. mycom selection software

In the world of industrial refrigeration and gas compression, precision isn’t just a goal—it’s a requirement. For engineers and contractors working with Mayekawa (the parent company of the MYCOM brand), the MYCOM Selection Software serves as the backbone for designing efficient, high-performance systems.

Functionality: Assists in the selection process by calculating performance data based on specified operating conditions. Ingest: Feed the system whole-genome sequences of both

The software is engineered to handle complex thermodynamic calculations that would otherwise take hours of manual effort. According to Mayekawa Global, key functionalities include:

Access Control: The software is generally not public-domain. It requires registration and approval from Mayekawa to obtain login credentials or installation files. cell-wall degrading enzymes

Core Functionalities

Most Mycom selection software operates through a combination of the following mechanisms:

1. Ingest: Feed the system whole-genome sequences of both the target fungus (e.g., T. reesei) and known mycoparasites (e.g., Trichoderma harzianum, Clonostachys rosea).
2. Map: Mycom created a dynamic interaction network—a “combat map”—highlighting genes for secondary metabolites, cell-wall degrading enzymes, and quorum-sensing molecules.
3. Simulate: Instead of wet-lab co-culture, Mycom ran 10,000 virtual co-culture battles per second, scoring every potential competitor.
4. Select: Finally, the software returned a ranked list of target strains that were genetically deaf to parasitic cues and biochemically armored against attack.