Literature DB >> 26123317

NMR structure calculation for all small molecule ligands and non-standard residues from the PDB Chemical Component Dictionary.

Emel Maden Yilmaz1, Peter Güntert2,3,4.   

Abstract

An algorithm, CYLIB, is presented for converting molecular topology descriptions from the PDB Chemical Component Dictionary into CYANA residue library entries. The CYANA structure calculation algorithm uses torsion angle molecular dynamics for the efficient computation of three-dimensional structures from NMR-derived restraints. For this, the molecules have to be represented in torsion angle space with rotations around covalent single bonds as the only degrees of freedom. The molecule must be given a tree structure of torsion angles connecting rigid units composed of one or several atoms with fixed relative positions. Setting up CYANA residue library entries therefore involves, besides straightforward format conversion, the non-trivial step of defining a suitable tree structure of torsion angles, and to re-order the atoms in a way that is compatible with this tree structure. This can be done manually for small numbers of ligands but the process is time-consuming and error-prone. An automated method is necessary in order to handle the large number of different potential ligand molecules to be studied in drug design projects. Here, we present an algorithm for this purpose, and show that CYANA structure calculations can be performed with almost all small molecule ligands and non-standard amino acid residues in the PDB Chemical Component Dictionary.

Keywords:  CYANA; Drug design; Molecular topology; Non-standard amino acid; Protein–ligand complex; Structure calculation

Mesh:

Substances:

Year:  2015        PMID: 26123317     DOI: 10.1007/s10858-015-9959-y

Source DB:  PubMed          Journal:  J Biomol NMR        ISSN: 0925-2738            Impact factor:   2.835


  25 in total

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7.  Torsion angle dynamics for NMR structure calculation with the new program DYANA.

Authors:  P Güntert; C Mumenthaler; K Wüthrich
Journal:  J Mol Biol       Date:  1997-10-17       Impact factor: 5.469

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