scholarly journals Knowledge-Based Conformer Generation Using the Cambridge Structural Database

2018 ◽  
Vol 58 (3) ◽  
pp. 615-629 ◽  
Author(s):  
Jason C. Cole ◽  
Oliver Korb ◽  
Patrick McCabe ◽  
Murray G. Read ◽  
Robin Taylor
Keyword(s):  
Cambridge Structural Database ◽  
Conformer Generation ◽  
Knowledge Based ◽  
Structural Database

scholarly journals Cocrystals in the Cambridge Structural Database: a network approach

2019 ◽  
Vol 75 (3) ◽  
pp. 371-383 ◽  
Author(s):  
Jan-Joris Devogelaer ◽  
Hugo Meekes ◽  
Elias Vlieg ◽  
René de Gelder
Keyword(s):  
Data Mining ◽  
Network Science ◽  
Cambridge Structural Database ◽  
Network Approach ◽  
Data Set ◽  
Similar Tendency ◽  
Knowledge Based ◽  
Structural Database ◽  
Promising Source ◽  
Source Of Information

To obtain a better understanding of which coformers to combine for the successful formation of a cocrystal, techniques from data mining and network science are used to analyze the data contained in the Cambridge Structural Database (CSD). A network of coformers is constructed based on cocrystal entries present in the CSD and its properties are analyzed. From this network, clusters of coformers with a similar tendency to form cocrystals are extracted. The popularity of the coformers in the CSD is unevenly distributed: a small group of coformers is responsible for most of the cocrystals, hence resulting in an inherently biased data set. The coformers in the network are found to behave primarily in a bipartite manner, demonstrating the importance of combining complementary coformers for successful cocrystallization. Based on our analysis, it is demonstrated that the CSD coformer network is a promising source of information for knowledge-based cocrystal prediction.

scholarly journals Conformer Generation with OMEGA: Algorithm and Validation Using High Quality Structures from the Protein Databank and Cambridge Structural Database

2010 ◽  
Vol 50 (4) ◽  
pp. 572-584 ◽  
Author(s):  
Paul C. D. Hawkins ◽  
A. Geoffrey Skillman ◽  
Gregory L. Warren ◽  
Benjamin A. Ellingson ◽  
Matthew T. Stahl
Keyword(s):  
Cambridge Structural Database ◽  
High Quality ◽  
Conformer Generation ◽  
Structural Database

BCL::Conf – Improved Open-Source Knowledge-Based Conformation Sampling using the Crystallographic Open Database

2020 ◽  
Author(s):  
Jeffrey Mendenhall ◽  
Benjamin Brown ◽  
Sandeepkumar Kothiwale ◽  
Jens Meiler
Keyword(s):  
Ligand Binding ◽  
Open Source ◽  
Operating Systems ◽  
Generation Algorithm ◽  
Rotamer Library ◽  
Conformer Generation ◽  
Knowledge Based

<div>This paper describes recent improvements made to the BCL::Conf rotamer generation algorithm and comparison of its performance against other freely available and commercial conformer generation software. We demonstrate that BCL::Conf, with the use of rotamers derived from the COD, more effectively recovers crystallographic ligand-binding conformations seen in the PDB than other commercial and freely available software. BCL::Conf is now distributed with the COD-derived rotamer library, free for academic use. The BCL can be downloaded at <a href="http://meilerlab.org/index.php/bclcommons/show/b_apps_id/1">http://meilerlab.org/ bclcommons</a> for Windows, Linux, or Apple operating systems.<br></div>

The structure of 1,2,4,4,6-pentaphenyl-1,4-dihydropyridine

1990 ◽  
Vol 55 (8) ◽  
pp. 2059-2065 ◽  
Author(s):  
Jaroslav Vojtěchovský ◽  
Jindřich Hašek ◽  
Jiří Ječný ◽  
Karel Huml
Keyword(s):  
Title Compound ◽  
Cambridge Structural Database ◽  
Boat Conformation ◽  
Planar Conformation ◽  
Structural Database ◽  
Independent Molecules ◽  
Dihydropyridine Ring

Title compound is triclinic, Mr = 461.60; P1, a = 9.158(1), b = 16.062(3), c = 19.472(3) Å, α = 110.69(1)°, β = 89.70(1)°, γ = 103.17(1)°, V = 2 600(1) Å3, Z = 4, Do = 1.15(3), Dc = 1.179(1) Mg m-3, λ(CuKα) = 1.5418 Å, μ = 0.509 mm-1, F(000) = 976 K, R = 0.040 for 8 059 unique observed reflections. Both symmetrically independent molecules show a different geometry of the 1,4-dihydropyridine ring: either the boat conformation with apexes C(sp3), N and boat angles 14.7(3)° and 10.3(2)° respectively, or the planar conformation. The conformation has been compared with similar dihydropyridines obtained from Cambridge Structural Database.

scholarly journals Targeted classification of metal–organic frameworks in the Cambridge structural database (CSD)

2020 ◽  
Vol 11 (32) ◽  
pp. 8373-8387 ◽  
Author(s):  
Peyman Z. Moghadam ◽  
Aurelia Li ◽  
Xiao-Wei Liu ◽  
Rocio Bueno-Perez ◽  
Shu-Dong Wang ◽  
...  
Keyword(s):  
Surface Chemistry ◽  
Specific Surface ◽  
Large Scale ◽  
Metal Cluster ◽  
Metal Organic Frameworks ◽  
Cambridge Structural Database ◽  
Metal Organic ◽  
Structural Database

Large-scale targeted exploration of metal–organic frameworks (MOFs) with characteristics such as specific surface chemistry or metal-cluster family has not been investigated so far.

Applications of the Cambridge Structural Database to molecular inorganic chemistry

2002 ◽  
Vol 58 (3) ◽  
pp. 398-406 ◽  
Author(s):  
A. Guy Orpen
Keyword(s):  
Inorganic Chemistry ◽  
Structural Data ◽  
Cambridge Structural Database ◽  
High Quality ◽  
Computational Data ◽  
Inorganic Complexes ◽  
Fundamental Research ◽  
Structural Database ◽  
Structure Correlation ◽  
Molecular Dimensions

Applications of the data in the Cambridge Structural Database (CSD) to knowledge acquisition and fundamental research in molecular inorganic chemistry are reviewed. Various classes of application are identified, including the derivation of typical molecular dimensions and their variability and transferability, the derivation and testing of theories of molecular structure and bonding, the identification of reaction paths and related conformational analyses based on the structure correlation hypothesis, and the identification of common and presumably energetically favourable intermolecular interactions. In many of these areas, the availability of plentiful structural data from the CSD is set against the emergence of high-quality computational data on the geometry and energy of inorganic complexes.

Spacer conformation in biologically active molecules

2004 ◽  
Vol 76 (5) ◽  
pp. 959-964 ◽  
Author(s):  
J. Karolak-Wojciechowska ◽  
A. Fruzinski
Keyword(s):  
Statistical Data ◽  
Population Analysis ◽  
Cambridge Structural Database ◽  
Biologically Active ◽  
Aliphatic Chain ◽  
X Ray ◽  
Flexible Spacer ◽  
Conformational Preferences ◽  
Structural Database ◽  
The One

Based on our contemporary studies on the structures of biologically active molecules, we focus our attention on the aliphatic chain and its conformation. That flexible spacer definitely influenced the balanced position of all pharmacophoric points in molecules of biological ligands. The one atomic linker and two or three atomic spacers with one heteroatom X =O, S, CH2, NH have been taken into account. The conformational preferences clearly depend on the heteroatom X. In the discussion, we utilize our own X-ray data, computation chemistry methods, population analysis, and statistical data from the Cambridge Structural Database (CSD).

Five pseudopolymorphs of 6-amino-2-thiouracil: absence of N—H...S hydrogen bonds

2012 ◽  
Vol 69 (1) ◽  
pp. 93-100 ◽  
Author(s):  
Wilhelm Maximilian Hützler ◽  
Michael Bolte
Keyword(s):  
Hydrogen Bond ◽  
Hydrogen Bonding ◽  
Hydrogen Bonds ◽  
Cambridge Structural Database ◽  
Hydrogen Bonding Pattern ◽  
Crystallization Experiments ◽  
Structural Database ◽  
Thiouracil Derivatives

In order to study the preferred hydrogen-bonding pattern of 6-amino-2-thiouracil, C4H5N3OS, (I), crystallization experiments yielded five different pseudopolymorphs of (I), namely the dimethylformamide disolvate, C4H5N3OS·2C3H7NO, (Ia), the dimethylacetamide monosolvate, C4H5N3OS·C4H9NO, (Ib), the dimethylacetamide sesquisolvate, C4H5N3OS·1.5C4H9NO, (Ic), and two different 1-methylpyrrolidin-2-one sesquisolvates, C4H5N3OS·1.5C5H9NO, (Id) and (Ie). All structures containR21(6) N—H...O hydrogen-bond motifs. In the latter four structures, additionalR22(8) N—H...O hydrogen-bond motifs are present stabilizing homodimers of (I). No type of hydrogen bond other than N—H...O is observed. According to a search of the Cambridge Structural Database, most 2-thiouracil derivatives form homodimers stabilized by anR22(8) hydrogen-bonding pattern, with (i) only N—H...O, (ii) only N—H...S or (iii) alternating pairs of N—H...O and N—H...S hydrogen bonds.

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