scholarly journals AceDRG: a stereochemical description generator for ligands

2017 ◽  
Vol 73 (2) ◽  
pp. 112-122 ◽  
Author(s):  
Fei Long ◽  
Robert A. Nicholls ◽  
Paul Emsley ◽  
Saulius Gražulis ◽  
Andrius Merkys ◽  
...  

The programAceDRGis designed for the derivation of stereochemical information about small molecules. It uses local chemical and topological environment-based atom typing to derive and organize bond lengths and angles from a small-molecule database: the Crystallography Open Database (COD). Information about the hybridization states of atoms, whether they belong to small rings (up to seven-membered rings), ring aromaticity and nearest-neighbour information is encoded in the atom types. All atoms from the COD have been classified according to the generated atom types. All bonds and angles have also been classified according to the atom types and, in a certain sense, bond types. Derived data are tabulated in a machine-readable form that is freely available fromCCP4.AceDRGcan also generate stereochemical information, provided that the basic bonding pattern of a ligand is known. The basic bonding pattern is perceived from one of the computational chemistry file formats, including SMILES, mmCIF, SDF MOL and SYBYL MOL2 files. Using the bonding chemistry, atom types, and bond and angle tables generated from the COD,AceDRGderives the `ideal' bond lengths, angles, plane groups, aromatic rings and chirality information, and writes them to an mmCIF file that can be used by the refinement programREFMAC5 and the model-building programCoot. Other refinement and model-building programs such asPHENIXandBUSTERcan also use these files.AceDRGalso generates one or more coordinate sets corresponding to the most favourable conformation(s) of a given ligand.AceDRGemploysRDKitfor chemistry perception and for initial conformation generation, as well as for the interpretation of SMILES strings, SDF MOL and SYBYL MOL2 files.

1974 ◽  
Vol 7 (4) ◽  
pp. 267
Author(s):  
Alice S. Clark

As more academic and public libraries have some form of bibliographic description of their complete collection available in machine-readable form, public service librarians are devising ways to use the information for better retrieval. Research at the Ohio State University tested user response to paper and COM output from selected areas of the shelflist. Results indicated users at remote locations found such lists helpful, with some indication that paper printout was more popular than microfiche.


1982 ◽  
Vol 4 (4) ◽  
pp. 161-165
Author(s):  
Wolfgang Nedobity

The increased production and publication of professional and scientific literature makes it necessary that abstracts are pro duced in a quick, efficient and economical way. This can be achieved by the mechanization of abstracting. With the aid of computers, extracts can be produced of all kinds of texts which are available in machine-readable form. The main problem of this procedure is how to determine the key sentences of a text, i.e., the passages that contain the most relevant information. Various methods have been developed for this purpose; the one presented here is based on the fact that in order to convey relevant information, subject terminology is used. In many cases subject terminologies are now available in machine-reada ble form too and thus can be easily applied to the automatic production of abstracts.


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