Literature DB >> 8051217

CHUCKLES: a method for representing and searching peptide and peptoid sequences on both monomer and atomic levels.

M A Siani1, D Weininger, J M Blaney.   

Abstract

Dual representation of peptide and non-peptide structures in a chemical database as atomic-level molecular graphs and sequence strings permits chemical substructure and similarity searches as well as sequence-based substring and regular expression searches. CHUCKLES interconverts monomer-based sequences with SMILES, which represent atomic-level molecular graphs. Forward-translation maps peptide or other sequences into SMILES. Back-translation extracts monomer sequences from SMILES. This approach permits a generalized representation of monomers allowing user specification of any monomer. CHUCKLES allows mixing of atoms with user-defined monomer names; that is, monomer representation is consistent with SMILES notation. In addition, oligomer branching and cyclization are handled.

Mesh:

Substances:

Year:  1994        PMID: 8051217     DOI: 10.1021/ci00019a017

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  12 in total

1.  RNA base-amino acid interaction strengths derived from structures and sequences.

Authors:  B Lustig; S Arora; R L Jernigan
Journal:  Nucleic Acids Res       Date:  1997-07-01       Impact factor: 16.971

2.  Jmol SMILES and Jmol SMARTS: specifications and applications.

Authors:  Robert M Hanson
Journal:  J Cheminform       Date:  2016-09-26       Impact factor: 5.514

3.  PRO_LIGAND: an approach to de novo molecular design. 6. Flexible fitting in the design of peptides.

Authors:  C W Murray; D E Clark; D G Byrne
Journal:  J Comput Aided Mol Des       Date:  1995-10       Impact factor: 3.686

4.  CurlySMILES: a chemical language to customize and annotate encodings of molecular and nanodevice structures.

Authors:  Axel Drefahl
Journal:  J Cheminform       Date:  2011-01-07       Impact factor: 5.514

5.  Smiles2Monomers: a link between chemical and biological structures for polymers.

Authors:  Yoann Dufresne; Laurent Noé; Valérie Leclère; Maude Pupin
Journal:  J Cheminform       Date:  2015-12-29       Impact factor: 5.514

6.  Chiral Brønsted Acid-Catalyzed Enantioselective α-Amidoalkylation Reactions: A Joint Experimental and Predictive Study.

Authors:  Eider Aranzamendi; Sonia Arrasate; Nuria Sotomayor; Humberto González-Díaz; Esther Lete
Journal:  ChemistryOpen       Date:  2016-11-23       Impact factor: 2.911

Review 7.  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

8.  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

9.  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

10.  BIOPEP-UWM Database of Bioactive Peptides: Current Opportunities.

Authors:  Piotr Minkiewicz; Anna Iwaniak; Małgorzata Darewicz
Journal:  Int J Mol Sci       Date:  2019-11-27       Impact factor: 5.923

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