Literature DB >> 22947017

HELM: a hierarchical notation language for complex biomolecule structure representation.

Tianhong Zhang1, Hongli Li, Hualin Xi, Robert V Stanton, Sergio H Rotstein.   

Abstract

When biological macromolecules are used as therapeutic agents, it is often necessary to introduce non-natural chemical modifications to improve their pharmaceutical properties. The final products are complex structures where entities such as proteins, peptides, oligonucleotides, and small molecule drugs may be covalently linked to each other, or may include chemically modified biological moieties. An accurate in silico representation of these complex structures is essential, as it forms the basis for their electronic registration, storage, analysis, and visualization. The size of these molecules (henceforth referred to as "biomolecules") often makes them too unwieldy and impractical to represent at the atomic level, while the presence of non-natural chemical modifications makes it impossible to represent them by sequence alone. Here we describe the Hierarchical Editing Language for Macromolecules ("HELM") and demonstrate its utility in the representation of structures such as antisense oligonucleotides, short interference RNAs, peptides, proteins, and antibody drug conjugates.

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Year:  2012        PMID: 22947017     DOI: 10.1021/ci3001925

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  12 in total

1.  BpForms and BcForms: a toolkit for concretely describing non-canonical polymers and complexes to facilitate global biochemical networks.

Authors:  Paul F Lang; Yassmine Chebaro; Xiaoyue Zheng; John A P Sekar; Bilal Shaikh; Darren A Natale; Jonathan R Karr
Journal:  Genome Biol       Date:  2020-05-18       Impact factor: 13.583

2.  The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands.

Authors:  Christopher Southan; Joanna L Sharman; Helen E Benson; Elena Faccenda; Adam J Pawson; Stephen P H Alexander; O Peter Buneman; Anthony P Davenport; John C McGrath; John A Peters; Michael Spedding; William A Catterall; Doriano Fabbro; Jamie A Davies
Journal:  Nucleic Acids Res       Date:  2015-10-12       Impact factor: 16.971

Review 3.  Annotation of Peptide Structures Using SMILES and Other Chemical Codes-Practical Solutions.

Authors:  Piotr Minkiewicz; Anna Iwaniak; Małgorzata Darewicz
Journal:  Molecules       Date:  2017-11-27       Impact factor: 4.411

4.  SPICES: a particle-based molecular structure line notation and support library for mesoscopic simulation.

Authors:  Karina van den Broek; Mirco Daniel; Matthias Epple; Hubert Kuhn; Jonas Schaub; Achim Zielesny
Journal:  J Cheminform       Date:  2018-08-09       Impact factor: 5.514

5.  BigSMILES: A Structurally-Based Line Notation for Describing Macromolecules.

Authors:  Tzyy-Shyang Lin; Connor W Coley; Hidenobu Mochigase; Haley K Beech; Wencong Wang; Zi Wang; Eliot Woods; Stephen L Craig; Jeremiah A Johnson; Julia A Kalow; Klavs F Jensen; Bradley D Olsen
Journal:  ACS Cent Sci       Date:  2019-09-12       Impact factor: 14.553

6.  rBAN: retro-biosynthetic analysis of nonribosomal peptides.

Authors:  Emma Ricart; Valérie Leclère; Areski Flissi; Markus Mueller; Maude Pupin; Frédérique Lisacek
Journal:  J Cheminform       Date:  2019-02-08       Impact factor: 5.514

Review 7.  Molecular representations in AI-driven drug discovery: a review and practical guide.

Authors:  Laurianne David; Amol Thakkar; Rocío Mercado; Ola Engkvist
Journal:  J Cheminform       Date:  2020-09-17       Impact factor: 5.514

8.  Proposal of the Annotation of Phosphorylated Amino Acids and Peptides Using Biological and Chemical Codes.

Authors:  Piotr Minkiewicz; Małgorzata Darewicz; Anna Iwaniak; Marta Turło
Journal:  Molecules       Date:  2021-01-29       Impact factor: 4.411

9.  PFRED: A computational platform for siRNA and antisense oligonucleotides design.

Authors:  Simone Sciabola; Hualin Xi; Dario Cruz; Qing Cao; Christine Lawrence; Tianhong Zhang; Sergio Rotstein; Jason D Hughes; Daniel R Caffrey; Robert V Stanton
Journal:  PLoS One       Date:  2021-01-22       Impact factor: 3.240

Review 10.  Automation and data-driven design of polymer therapeutics.

Authors:  Rahul Upadhya; Shashank Kosuri; Matthew Tamasi; Travis A Meyer; Supriya Atta; Michael A Webb; Adam J Gormley
Journal:  Adv Drug Deliv Rev       Date:  2020-11-24       Impact factor: 15.470

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