158 related articles for article (PubMed ID: 37993082)
21. A large comparison of integrated SAR/QSAR models of the Ames test for mutagenicity
Benfenati E; Golbamaki A; Raitano G; Roncaglioni A; Manganelli S; Lemke F; Norinder U; Lo Piparo E; Honma M; Manganaro A; Gini G
SAR QSAR Environ Res; 2018 Aug; 29(8):591-611. PubMed ID: 30052064
[TBL] [Abstract][Full Text] [Related]
22. Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project.
Furuhama A; Kitazawa A; Yao J; Matos Dos Santos CE; Rathman J; Yang C; Ribeiro JV; Cross K; Myatt G; Raitano G; Benfenati E; Jeliazkova N; Saiakhov R; Chakravarti S; Foster RS; Bossa C; Battistelli CL; Benigni R; Sawada T; Wasada H; Hashimoto T; Wu M; Barzilay R; Daga PR; Clark RD; Mestres J; Montero A; Gregori-Puigjané E; Petkov P; Ivanova H; Mekenyan O; Matthews S; Guan D; Spicer J; Lui R; Uesawa Y; Kurosaki K; Matsuzaka Y; Sasaki S; Cronin MTD; Belfield SJ; Firman JW; Spînu N; Qiu M; Keca JM; Gini G; Li T; Tong W; Hong H; Liu Z; Igarashi Y; Yamada H; Sugiyama KI; Honma M
SAR QSAR Environ Res; 2023; 34(12):983-1001. PubMed ID: 38047445
[TBL] [Abstract][Full Text] [Related]
23. Efficient predictions of cytotoxicity of TiO
Banerjee A; Kar S; Pore S; Roy K
Nanotoxicology; 2023 Feb; 17(1):78-93. PubMed ID: 36891579
[TBL] [Abstract][Full Text] [Related]
24. In Silico Prediction of Chemically Induced Mutagenicity: A Weight of Evidence Approach Integrating Information from QSAR Models and Read-Across Predictions.
Mombelli E; Raitano G; Benfenati E
Methods Mol Biol; 2022; 2425():149-183. PubMed ID: 35188632
[TBL] [Abstract][Full Text] [Related]
25. QSAR modeling for predicting mutagenic toxicity of diverse chemicals for regulatory purposes.
Basant N; Gupta S
Environ Sci Pollut Res Int; 2017 Jun; 24(16):14430-14444. PubMed ID: 28435990
[TBL] [Abstract][Full Text] [Related]
26. Antiprotozoan lead discovery by aligning dry and wet screening: prediction, synthesis, and biological assay of novel quinoxalinones.
Martins Alho MA; Marrero-Ponce Y; Barigye SJ; Meneses-Marcel A; Machado Tugores Y; Montero-Torres A; Gómez-Barrio A; Nogal JJ; García-Sánchez RN; Vega MC; Rolón M; Martínez-Fernández AR; Escario JA; Pérez-Giménez F; Garcia-Domenech R; Rivera N; Mondragón R; Mondragón M; Ibarra-Velarde F; Lopez-Arencibia A; Martín-Navarro C; Lorenzo-Morales J; Cabrera-Serra MG; Piñero J; Tytgat J; Chicharro R; Arán VJ
Bioorg Med Chem; 2014 Mar; 22(5):1568-85. PubMed ID: 24513185
[TBL] [Abstract][Full Text] [Related]
27. Evaluation of QSAR Equations for Virtual Screening.
Spiegel J; Senderowitz H
Int J Mol Sci; 2020 Oct; 21(21):. PubMed ID: 33105703
[TBL] [Abstract][Full Text] [Related]
28. Evaluation of the OECD QSAR Application Toolbox and Toxtree for estimating the mutagenicity of chemicals. Part 1. Aromatic amines.
Devillers J; Mombelli E
SAR QSAR Environ Res; 2010 Oct; 21(7-8):753-69. PubMed ID: 21120760
[TBL] [Abstract][Full Text] [Related]
29. Machine learning - Predicting Ames mutagenicity of small molecules.
Chu CSM; Simpson JD; O'Neill PM; Berry NG
J Mol Graph Model; 2021 Dec; 109():108011. PubMed ID: 34555723
[TBL] [Abstract][Full Text] [Related]
30. Prediction reliability of QSAR models: an overview of various validation tools.
De P; Kar S; Ambure P; Roy K
Arch Toxicol; 2022 May; 96(5):1279-1295. PubMed ID: 35267067
[TBL] [Abstract][Full Text] [Related]
31. Predicting Ames Mutagenicity Using Conformal Prediction in the Ames/QSAR International Challenge Project.
Norinder U; Ahlberg E; Carlsson L
Mutagenesis; 2019 Mar; 34(1):33-40. PubMed ID: 30541036
[TBL] [Abstract][Full Text] [Related]
32. Prediction of aromatic amines mutagenicity from theoretical molecular descriptors.
Gramatica P; Consonni V; Pavan M
SAR QSAR Environ Res; 2003 Aug; 14(4):237-50. PubMed ID: 14506868
[TBL] [Abstract][Full Text] [Related]
33. Quantitative Read-across structure-activity relationship (q-RASAR): A new approach methodology to model aquatic toxicity of organic pesticides against different fish species.
Ghosh S; Chatterjee M; Roy K
Aquat Toxicol; 2023 Dec; 265():106776. PubMed ID: 38006764
[TBL] [Abstract][Full Text] [Related]
34. Electron-correlation based externally predictive QSARs for mutagenicity of nitrated-PAHs in Salmonella typhimurium TA100.
Reenu ; Vikas
Ecotoxicol Environ Saf; 2014 Mar; 101():42-50. PubMed ID: 24507125
[TBL] [Abstract][Full Text] [Related]
35. [Quantitative structure-activity relationship model for prediction of cardiotoxicity of chemical components in traditional Chinese medicines].
Beijing Da Xue Xue Bao Yi Xue Ban; 2017 Jun; 49(3):551-556. PubMed ID: 28628163
[TBL] [Abstract][Full Text] [Related]
36. Prediction of rodent carcinogenic potential of naturally occurring chemicals in the human diet using high-throughput QSAR predictive modeling.
Valerio LG; Arvidson KB; Chanderbhan RF; Contrera JF
Toxicol Appl Pharmacol; 2007 Jul; 222(1):1-16. PubMed ID: 17482223
[TBL] [Abstract][Full Text] [Related]
37. TOMOCOMD-CARDD descriptors-based virtual screening of tyrosinase inhibitors: evaluation of different classification model combinations using bond-based linear indices.
Casañola-Martín GM; Marrero-Ponce Y; Khan MT; Ather A; Sultan S; Torrens F; Rotondo R
Bioorg Med Chem; 2007 Feb; 15(3):1483-503. PubMed ID: 17110117
[TBL] [Abstract][Full Text] [Related]
38. QSAR modeling without descriptors using graph convolutional neural networks: the case of mutagenicity prediction.
Hung C; Gini G
Mol Divers; 2021 Aug; 25(3):1283-1299. PubMed ID: 34146224
[TBL] [Abstract][Full Text] [Related]
39. Application of cross-validation strategies to avoid overestimation of performance of 2D-QSAR models for the prediction of aquatic toxicity of chemical mixtures.
Chatterjee M; Roy K
SAR QSAR Environ Res; 2022 Jun; 33(6):463-484. PubMed ID: 35638563
[TBL] [Abstract][Full Text] [Related]
40. ToxRead: a tool to assist in read across and its use to assess mutagenicity of chemicals.
Gini G; Franchi AM; Manganaro A; Golbamaki A; Benfenati E
SAR QSAR Environ Res; 2014; 25(12):999-1011. PubMed ID: 25511972
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]