Announcing Support for HELM 2.0 (Hierarchical Editing Language for Macromolecules) in the Open Source Web Editor
Summary
HELM, the open biomolecular representation standard, has solved this problem by providing a means to represent various types of complex macromolecules (e.g. nucleotides, proteins, antibodies and antibody-drug conjugates) including the ones that contain unnatural amino acids or nucleotides/nucleosides.Since its release, HELM has been widely adopted by various organizations such as Bristol Myers Squibb, Pfizer, Novartis, Roche, GSK, Ionis, Merck and Co, Scilligence, NextMove Software, Dassault Systèmes BIOVIA, ChemAxon, Perkin-Elmer, quattro research, EMBL-EBI, NCBI (PubChem), and RDKit.Through this partnership with Scilligence, we have implemented the enhancements available in HELM2.0 and further extended the capabilities and applicability of the open source tools,” said Sergio Rotstein, Director of Research Business Technology at Pfizer and Domain Lead for the Pistoia Alliance HELM initiative.It overcomes common R&D obstacles by identifying the root causes, developing standards and best practices, sharing pre-competitive data and knowledge, and implementing technology pilots.Since its release, HELM has been widely adopted by various organizations such as Bristol Myers Squibb, Pfizer, Novartis, Roche, GSK, Ionis, Merck and Co, Scilligence, NextMove Software, Dassault Systèmes BIOVIA, ChemAxon, Perkin-Elmer, quattro research, EMBL-EBI, NCBI (PubChem), and RDKit.While the original HELM solved the problem of representing unnatural complex biomolecules, it held the basic assumption that a scientist would know everything about the structures being represented.
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