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2013 1
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Page 1
Safety and Preliminary Efficacy of Mesenchymal Stromal Cell (ORBCEL-M) Therapy in Diabetic Kidney Disease: A Randomized Clinical Trial (NEPHSTROM).
Perico N, Remuzzi G, Griffin MD, Cockwell P, Maxwell AP, Casiraghi F, Rubis N, Peracchi T, Villa A, Todeschini M, Carrara F, Magee BA, Ruggenenti PL, Rota S, Cappelletti L, McInerney V, Griffin TP, Islam MN, Introna M, Pedrini O, Golay J, Finnerty AA, Smythe J, Fibbe WE, Elliman SJ, O'Brien T; NEPHSTROM Trial Consortium. Perico N, et al. J Am Soc Nephrol. 2023 Oct 1;34(10):1733-1751. doi: 10.1681/ASN.0000000000000189. Epub 2023 Aug 10. J Am Soc Nephrol. 2023. PMID: 37560967 Clinical Trial.
Cholesterol 24-hydroxylase is a novel pharmacological target for anti-ictogenic and disease modification effects in epilepsy.
Salamone A, Terrone G, Di Sapia R, Balosso S, Ravizza T, Beltrame L, Craparotta I, Mannarino L, Cominesi SR, Rizzi M, Pauletti A, Marchini S, Porcu L, Zimmer TS, Aronica E, During M, Abrahams B, Kondo S, Nishi T, Vezzani A. Salamone A, et al. Neurobiol Dis. 2022 Oct 15;173:105835. doi: 10.1016/j.nbd.2022.105835. Epub 2022 Aug 3. Neurobiol Dis. 2022. PMID: 35932989 Free article.
Carcinogenicity prediction using the index of ideality of correlation.
Toropova AP, Toropov AA, Viganò EL, Colombo E, Roncaglioni A, Benfenati E. Toropova AP, et al. SAR QSAR Environ Res. 2022 Jun;33(6):419-428. doi: 10.1080/1062936X.2022.2076736. Epub 2022 Jun 1. SAR QSAR Environ Res. 2022. PMID: 35642587
We describe here a model based on a data set of 1167 substances. Matthew's correlation coefficient values for calibration and validation sets are 0.747 and 0.577, respectively. ...
We describe here a model based on a data set of 1167 substances. Matthew's correlation coefficient values for calibration and validat …
Semi-correlations as a tool to model for skin sensitization.
Toropova AP, Toropov AA, Benfenati E. Toropova AP, et al. Food Chem Toxicol. 2021 Nov;157:112580. doi: 10.1016/j.fct.2021.112580. Epub 2021 Sep 22. Food Chem Toxicol. 2021. PMID: 34560179
The ranges of statistical characteristics of the models depend on the endpoint, LLNA or DPRA/h-CLAT: for the first level, sensitivity: 0.69-0.88, specificity: 0.75-0.89, accuracy: 0.77-0.87, Matthew's correlation coefficient (MCC): 0.54-0.57 and for the second level, sensi …
The ranges of statistical characteristics of the models depend on the endpoint, LLNA or DPRA/h-CLAT: for the first level, sensitivity: 0.69- …
The System of Self-Consistent Models: QSAR Analysis of Drug-Induced Liver Toxicity.
Toropova AP, Toropov AA, Roncaglioni A, Benfenati E. Toropova AP, et al. Toxics. 2023 Apr 29;11(5):419. doi: 10.3390/toxics11050419. Toxics. 2023. PMID: 37235234 Free PMC article.
This new process yields good results: sensitivity = 0.77, specificity = 0.75, accuracy = 0.76, and Matthew correlation coefficient = 0.51 (all compounds) and sensitivity = 0.83, specificity = 0.81, accuracy = 0.83 and Matthew correlation coefficient = 0.63 (validati …
This new process yields good results: sensitivity = 0.77, specificity = 0.75, accuracy = 0.76, and Matthew correlation coefficient = …
Machine-learning technique, QSAR and molecular dynamics for hERG-drug interactions.
Das NR, Sharma T, Toropov AA, Toropova AP, Tripathi MK, Achary PGR. Das NR, et al. J Biomol Struct Dyn. 2023;41(23):13766-13791. doi: 10.1080/07391102.2023.2193641. Epub 2023 Apr 5. J Biomol Struct Dyn. 2023. PMID: 37021352
If a compound's IC(50) value was between 10 muM and less, it was classified as a blocker (hERG-positive), and if it was more, it was classified as a non-blocker (hERG-negative). Matthew's correlation coefficient formula and F1score were applied to compare and track the dev …
If a compound's IC(50) value was between 10 muM and less, it was classified as a blocker (hERG-positive), and if it was more, it was classif …
Designing a broad-spectrum integrative approach for cancer prevention and treatment.
Block KI, Gyllenhaal C, Lowe L, Amedei A, Amin ARMR, Amin A, Aquilano K, Arbiser J, Arreola A, Arzumanyan A, Ashraf SS, Azmi AS, Benencia F, Bhakta D, Bilsland A, Bishayee A, Blain SW, Block PB, Boosani CS, Carey TE, Carnero A, Carotenuto M, Casey SC, Chakrabarti M, Chaturvedi R, Chen GZ, Chen H, Chen S, Chen YC, Choi BK, Ciriolo MR, Coley HM, Collins AR, Connell M, Crawford S, Curran CS, Dabrosin C, Damia G, Dasgupta S, DeBerardinis RJ, Decker WK, Dhawan P, Diehl AME, Dong JT, Dou QP, Drew JE, Elkord E, El-Rayes B, Feitelson MA, Felsher DW, Ferguson LR, Fimognari C, Firestone GL, Frezza C, Fujii H, Fuster MM, Generali D, Georgakilas AG, Gieseler F, Gilbertson M, Green MF, Grue B, Guha G, Halicka D, Helferich WG, Heneberg P, Hentosh P, Hirschey MD, Hofseth LJ, Holcombe RF, Honoki K, Hsu HY, Huang GS, Jensen LD, Jiang WG, Jones LW, Karpowicz PA, Keith WN, Kerkar SP, Khan GN, Khatami M, Ko YH, Kucuk O, Kulathinal RJ, Kumar NB, Kwon BS, Le A, Lea MA, Lee HY, Lichtor T, Lin LT, Locasale JW, Lokeshwar BL, Longo VD, Lyssiotis CA, MacKenzie KL, Malhotra M, Marino M, Martinez-Chantar ML, Matheu A, Maxwell C, McDonnell E, Meeker AK, Mehrmohamadi M, Mehta K, Michelotti GA, Mohammad RM, Moha… See abstract for full author list ➔ Block KI, et al. Semin Cancer Biol. 2015 Dec;35 Suppl(Suppl):S276-S304. doi: 10.1016/j.semcancer.2015.09.007. Semin Cancer Biol. 2015. PMID: 26590477 Free PMC article. Review.
Evaluation and comparison of benchmark QSAR models to predict a relevant REACH endpoint: The bioconcentration factor (BCF).
Gissi A, Lombardo A, Roncaglioni A, Gadaleta D, Mangiatordi GF, Nicolotti O, Benfenati E. Gissi A, et al. Environ Res. 2015 Feb;137:398-409. doi: 10.1016/j.envres.2014.12.019. Epub 2015 Jan 21. Environ Res. 2015. PMID: 25616163
The goodness of the regression analysis was assessed by considering the determination coefficient (R(2)) and the Root Mean Square Error (RMSE); Cooper's statistics and Matthew's Correlation Coefficient (MCC) were calculated for all the thresholds relevant for regulatory pu …
The goodness of the regression analysis was assessed by considering the determination coefficient (R(2)) and the Root Mean Square Error (RMS …
12 results