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Image Search Results
Journal: Journal of Cheminformatics
Article Title: PubChem atom environments
doi: 10.1186/s13321-015-0076-4
Figure Lengend Snippet: Top-10 most frequent ‘augmented atoms’ in PubChem Compound. PubChem Compound records were fragmented with atom type and bond type definitions identical to those used by Adamson et al. . Incidence was used for ranking, calculated based on 46,605,207 compound records. Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelMDL in the OpenEye Scientific Software, Inc. OEChem C++ toolkit .
Article Snippet: Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the
Techniques: Software
Journal: Journal of Cheminformatics
Article Title: PubChem atom environments
doi: 10.1186/s13321-015-0076-4
Figure Lengend Snippet: Top-10 most frequent atom types (r = 0) in PubChem. Percentages indicate incidence of the atom type in the respective database: a Substance; and b Compound. Light gray bonds for clarification of connectivity and valence. Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the OpenEye Scientific Software, Inc. OEChem C++ toolkit .
Article Snippet: Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the
Techniques: Clarification Assay, Software
Journal: Journal of Cheminformatics
Article Title: PubChem atom environments
doi: 10.1186/s13321-015-0076-4
Figure Lengend Snippet: Top-10 most frequent atom environments with radius r = 1 in PubChem. Percentages indicate incidence of the atom environment in the respective database: a Substance, and b Compound. Light gray structures clarify valence and connectivity. Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the OpenEye Scientific Software, Inc. OEChem C++ toolkit .
Article Snippet: Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the
Techniques: Software
Journal: Journal of Cheminformatics
Article Title: PubChem atom environments
doi: 10.1186/s13321-015-0076-4
Figure Lengend Snippet: Top-10 atom environments with radius r = 1 unique to Substance and Compound, respectively. Atom environments are ranked by their incidence in the respective database: a Substance, and b Compound. Incidence provided in absolute numbers due to very low corresponding percentages. Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the OpenEye Scientific Software, Inc. OEChem C++ toolkit .
Article Snippet: Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the
Techniques: Software
Journal: Journal of Cheminformatics
Article Title: PubChem atom environments
doi: 10.1186/s13321-015-0076-4
Figure Lengend Snippet: Top-10 most frequent atom environments with radius r = 2 in PubChem. Percentages indicate incidence of the atom environment in the respective database: a Substance; and b Compound. Light gray structures clarify valence and connectivity. Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the OpenEye Scientific Software, Inc. OEChem C++ toolkit .
Article Snippet: Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the
Techniques: Software
Journal: Journal of Cheminformatics
Article Title: PubChem atom environments
doi: 10.1186/s13321-015-0076-4
Figure Lengend Snippet: Top-10 most frequent atom environments with radius r = 2 unique to Substance and Compound, respectively. Atom environments are ranked by their incidence in the respective database: a Substance; and b Compound. Incidence provided in absolute numbers due to very low corresponding percentages. Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the OpenEye Scientific Software, Inc. OEChem C++ toolkit .
Article Snippet: Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the
Techniques: Software
Journal: Journal of Cheminformatics
Article Title: PubChem atom environments
doi: 10.1186/s13321-015-0076-4
Figure Lengend Snippet: Top-10 most frequent atom environments with radius r = 3 in PubChem. Percentages indicate incidence of the atom environment in the respective database: a Substance; and b Compound. Light gray structures clarify valence and connectivity. Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the OpenEye Scientific Software, Inc. OEChem C++ toolkit .
Article Snippet: Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the
Techniques: Software
Journal: Journal of Cheminformatics
Article Title: PubChem atom environments
doi: 10.1186/s13321-015-0076-4
Figure Lengend Snippet: Top-10 most frequent atom environments with radius r = 3 unique to Substance. Atom environments ranked by incidence. Incidence provided in absolute numbers due to very low corresponding percentages. Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the OpenEye Scientific Software, Inc. OEChem C++ toolkit .
Article Snippet: Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the
Techniques: Software
Journal: Journal of Cheminformatics
Article Title: PubChem atom environments
doi: 10.1186/s13321-015-0076-4
Figure Lengend Snippet: Atom environments with radius r = 3 unique to Compound. Atom environments ranked by incidence. Incidence provided in absolute numbers due to very low corresponding percentages. Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the OpenEye Scientific Software, Inc. OEChem C++ toolkit .
Article Snippet: Dashed lines indicate aromatic bonds as perceived using the aromaticity model OEAroModelOpenEye in the
Techniques: Software
Journal: Journal of Chemical Information and Modeling
Article Title: SILVR: Guided Diffusion for Molecule Generation
doi: 10.1021/acs.jcim.3c00667
Figure Lengend Snippet: Schematic of the equivariant diffusion model with selective iterative latent variable refinement (SILVR) indicated for every denoising step. Here, the reference in blue on the left shows 3 small fragments. They evolve over time t in the diffusion process to resemble a Gaussian distribution at t = T , see eq . The β represents the noise added at each step, and the dots show the steps omitted from time t = 3 to t = T . As atoms effectively “diffuse”, they can be perceived as changing position. To generate a new sample, a sample is generated from p θ ( x ) according to eq , this distribution is from the learned EDM. At each denoising step, a set of reference fragments ( y t ) at that same level of noise t is used, which is indicated by the SILVR arrows to condition the EDM. This is controlled through SILVR at a given rate r S , until a new sample that resembles the reference is generated (following the bottom row along the yellow boxes and EDM arrows).
Article Snippet: The agreement in the shape of the samples and the binding site of MPro were determined using the
Techniques: Diffusion-based Assay, Generated
Journal: Journal of Chemical Information and Modeling
Article Title: SILVR: Guided Diffusion for Molecule Generation
doi: 10.1021/acs.jcim.3c00667
Figure Lengend Snippet: Validation measures of the SILVR model using fragments x0072 and x0354 as reference coordinates. (A) Ratio of stable atoms—an atom is determined as stable if the valence matches the expected valence for the element. (B) RMSD from reference—the calculated RMSD between the reference and sample, using an absolute one-to-one mapping ignores atom identity with low RMSD meaning molecules are similar to the reference and high RMSD they are not. (C) OpenEye measure Shapegauss—a Gaussian scoring function describing the shape fit between Mpro and samples, ignoring chemical interactions. A lower score means a better shape fit of the molecule. (D) Geometry stability—AIMNet geometry optimization was completed with Auto3D using the SMILES string of each sample. RMSD was calculated between the predicted geometry and the sampled geometry using RDKit. Horizontal lines indicate the sample median and circles indicate the sample mean.
Article Snippet: The agreement in the shape of the samples and the binding site of MPro were determined using the
Techniques: Biomarker Discovery