Hierarchical editing language for macromolecules
Notation for describing complex biological molecules
- 2 min read
- 6 chapters
Related on Lably
HELM was developed by a consortium of pharmaceutical companies in what is known as the Pistoia Alliance. Development began in 2008. In 2012 the notation was published openly and for free.
The HELM open source project can be found on GitHub.
Background
The need for a standard representation of biomolecules became apparent as researchers began working on modeling and computational projects involving molecules and engineered biomolecules. There was no language to accurately describe these entities, which required both composition and complex branching and structure. Protein sequences describe larger proteins, and mol files can represent simple peptides. However, the complexity of new research biomolecules makes describing large complex molecules difficult with chemical formats, and peptide formats are not sufficiently flexible to describe non-natural amino acids and other chemistries.
Sign in to keep reading
5 more chapters are free with a Lably account.
Design
In HELM, molecules are represented at four levels in a hierarchy:
- Complex polymer
- Simple polymer
- Monomer
- Atom
Monomers are assigned short unique identifiers in internal HELM databases and can be represented by the identifier in strings. The approach is similar to that used in Simplified molecular-input line-entry system (SMILES). An exchangeable file format allows sharing of data between companies who have assigned different identifiers to monomers.
Examples
(For now, see the following external links: "HELM notation" on HELM wiki, and test data file.)
Adoption
In 2014 ChEMBL announced plans to adopt HELM by 2014. The informatics company BIOVIA developed a modified Molfile format called the Self-Contained Sequence Representation (SCSR) A standard which can incorporate individual attempts to solve the problem and be used universally and avoid proliferating standards is a goal of HELM.
Tools
An editor tool is needed to visualize and work with biomolecules at the correct level of detail. The editor is needed to "zoom out" to see a large molecule at the amino-acid sequence level, then "zoom in" to the atomic level at a particular site of conjugation or derivatization.
The HELM Editor and HAbE (HELM Antibody Editor) are two client tools which may in the future be released as web-based applications.
Pistoia Alliance
At a conference in Pistoia, Italy, a group of researchers from Pfizer, AstraZeneca, GlaxoSmithKline, and Novartis formed what came to be known as the Pistoia Alliance. All parties were interested in solving problems for data aggregation, data sharing and analytics for pharmaceutical research. The alliance was incorporated in 2008. The alliance is now composed of informatics experts and researchers from industry, academia and life science service organizations.