openeye toolkit Search Results


90
OpenEye Scientific Software Inc openeye chemistry toolkits
Openeye Chemistry Toolkits, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/openeye chemistry toolkits/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
openeye chemistry toolkits - by Bioz Stars, 2026-04
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90
OpenEye Scientific Software Inc oechem toolkit
Oechem Toolkit, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/oechem toolkit/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
oechem toolkit - by Bioz Stars, 2026-04
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OpenEye Scientific Software Inc openeye toolkit
Openeye Toolkit, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/openeye toolkit/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
openeye toolkit - by Bioz Stars, 2026-04
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OpenEye Scientific Software Inc molprop
Molprop, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/molprop/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
molprop - by Bioz Stars, 2026-04
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90
OpenEye Scientific Software Inc chemistry tool kit
Chemistry Tool Kit, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/chemistry tool kit/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
chemistry tool kit - by Bioz Stars, 2026-04
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90
OpenEye Scientific Software Inc oechem c++ toolkit
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 <t>the</t> <t>OpenEye</t> Scientific Software, Inc. <t>OEChem</t> C++ toolkit .
Oechem C++ Toolkit, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/oechem c++ toolkit/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
oechem c++ toolkit - by Bioz Stars, 2026-04
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OpenEye Scientific Software Inc omega toolkit
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 <t>the</t> <t>OpenEye</t> Scientific Software, Inc. <t>OEChem</t> C++ toolkit .
Omega Toolkit, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/omega toolkit/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
omega toolkit - by Bioz Stars, 2026-04
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OpenEye Scientific Software Inc oemedchem toolkit
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 <t>the</t> <t>OpenEye</t> Scientific Software, Inc. <t>OEChem</t> C++ toolkit .
Oemedchem Toolkit, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/oemedchem toolkit/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
oemedchem toolkit - by Bioz Stars, 2026-04
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OpenEye Scientific Software Inc toolkits 2020.2.2
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 <t>the</t> <t>OpenEye</t> Scientific Software, Inc. <t>OEChem</t> C++ toolkit .
Toolkits 2020.2.2, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/toolkits 2020.2.2/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
toolkits 2020.2.2 - by Bioz Stars, 2026-04
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OpenEye Scientific Software Inc scientific software, i
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 <t>the</t> <t>OpenEye</t> Scientific Software, Inc. <t>OEChem</t> C++ toolkit .
Scientific Software, I, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/scientific software, i/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
scientific software, i - by Bioz Stars, 2026-04
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OpenEye Scientific Software Inc oechem toolkit v. 2019.oct.2
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 <t>the</t> <t>OpenEye</t> Scientific Software, Inc. <t>OEChem</t> C++ toolkit .
Oechem Toolkit V. 2019.Oct.2, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/oechem toolkit v. 2019.oct.2/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
oechem toolkit v. 2019.oct.2 - by Bioz Stars, 2026-04
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OpenEye Scientific Software Inc toolkit version 2022.2.2 gaussian scoring function shapegauss
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 <t>Gaussian</t> 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).
Toolkit Version 2022.2.2 Gaussian Scoring Function Shapegauss, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/toolkit version 2022.2.2 gaussian scoring function shapegauss/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
toolkit version 2022.2.2 gaussian scoring function shapegauss - by Bioz Stars, 2026-04
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Image Search Results


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 .

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 OpenEye Scientific Software, Inc. OEChem C++ toolkit [ ].

Techniques: Software

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 .

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 OpenEye Scientific Software, Inc. OEChem C++ toolkit [ ].

Techniques: Clarification Assay, Software

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 .

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 OpenEye Scientific Software, Inc. OEChem C++ toolkit [ ].

Techniques: Software

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 .

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 OpenEye Scientific Software, Inc. OEChem C++ toolkit [ ].

Techniques: Software

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 .

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 OpenEye Scientific Software, Inc. OEChem C++ toolkit [ ].

Techniques: Software

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 .

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 OpenEye Scientific Software, Inc. OEChem C++ toolkit [ ].

Techniques: Software

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 .

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 OpenEye Scientific Software, Inc. OEChem C++ toolkit [ ].

Techniques: Software

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 .

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 OpenEye Scientific Software, Inc. OEChem C++ toolkit [ ].

Techniques: Software

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 .

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 OpenEye Scientific Software, Inc. OEChem C++ toolkit [ ].

Techniques: Software

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).

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 OpenEye toolkit version 2022.2.2 Gaussian scoring function Shapegauss., This scoring function measures the shape complementarity between the ligand and receptor by considering each heavy atom as a Gaussian function.

Techniques: Diffusion-based Assay, Generated

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.

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 OpenEye toolkit version 2022.2.2 Gaussian scoring function Shapegauss., This scoring function measures the shape complementarity between the ligand and receptor by considering each heavy atom as a Gaussian function.

Techniques: Biomarker Discovery