about
A topologically related singularity suggests a maximum preferred size for protein domains.In vitro cell transformation assays for an integrated, alternative assessment of carcinogenicity: a data-based analysis.A data-based exploration of the adverse outcome pathway for skin sensitization points to the necessary requirements for its prediction with alternative methods.Endocrine Disruptors: Data-based survey of in vivo tests, predictive models and the Adverse Outcome Pathway.Alternative strategies for carcinogenicity assessment: an efficient and simplified approach based on in vitro mutagenicity and cell transformation assays.The expanding role of predictive toxicology: an update on the (Q)SAR models for mutagens and carcinogens.Structure alerts for carcinogenicity, and the Salmonella assay system: a novel insight through the chemical relational databases technology.Alternatives to the carcinogenicity bioassay: in silico methods, and the in vitro and in vivo mutagenicity assays.The new ISSMIC database on in vivo micronucleus and its role in assessing genotoxicity testing strategies.DNA damage and repair in human cancer: molecular mechanisms and contribution to therapy-related leukemias.Nongenotoxic carcinogenicity of chemicals: mechanisms of action and early recognition through a new set of structural alerts.New perspectives in toxicological information management, and the role of ISSTOX databases in assessing chemical mutagenicity and carcinogenicity.The Syrian hamster embryo cells transformation assay identifies efficiently nongenotoxic carcinogens, and can contribute to alternative, integrated testing strategies.Extended molecular dynamics simulation of the carbon monoxide migration in sperm whale myoglobin.Formation and Repair of Mismatches Containing Ribonucleotides and Oxidized Bases at Repeated DNA SequencesMolecular dynamics simulation of sperm whale myoglobin: effects of mutations and trapped CO on the structure and dynamics of cavities.Functional analysis of MUTYH mutated proteins associated with familial adenomatous polyposis.Flexible use of QSAR models in predictive toxicology: a case study on aromatic amines.IARC classes 1 and 2 carcinogens are successfully identified by an alternative strategy that detects DNA-reactivity and cell transformation ability of chemicals.Mutagenicity, carcinogenicity, and other end points.A comparative survey of chemistry-driven in silico methods to identify hazardous substances under REACH.Dynamical aspects of TEM-1 beta-lactamase probed by molecular dynamics.Conformational fluctuations and electronic properties in myoglobin.Predictivity and reliability of QSAR models: the case of mutagens and carcinogens.Mechanistic QSAR of aromatic amines: new models for discriminating between homocyclic mutagens and nonmutagens, and validation of models for carcinogens.Assessment and validation of US EPA's OncoLogic® expert system and analysis of its modulating factors for structural alerts.Entropic criteria for protein folding derived from recurrences: six residues patch as the basic protein word.Alternative Toxicity Testing: Analyses on Skin Sensitization, ToxCast Phases I and II, and Carcinogenicity Provide Indications on How to Model Mechanisms Linked to Adverse Outcome Pathways.QSARs of aromatic amines: identification of potent carcinogens.Structural motifs modulating the carcinogenic risk of aromatic aminesExploring In Vitro/In Vivo Correlation: Lessons Learned from Analyzing Phase I Results of the US EPA's ToxCast ProjectImprovement of quantitative structure-activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge ProjectStructural analysis and predictive value of the rodent in vivo micronucleus assay resultsPredictivity of QSAR(Q)SAR Methods for Predicting Genotoxicity and Carcinogenicity: Scientific Rationale and Regulatory FrameworksData-based review of QSARs for predicting genotoxicity: the state of the art
P50
Q30358633-6C05AECC-4410-4863-97E6-B2CE0A15550FQ30576475-5BB1CBF1-E41B-4E1D-B937-658BB42073A0Q31080201-AE48851F-A26E-4EA9-B891-1784F5205B59Q31165319-9496E27C-97B8-4FD3-8035-4152E65ACDCEQ34170350-21666C81-7340-4AB6-91CF-565448664961Q36761869-FCDB5156-4C8A-40F0-B38B-387C6D257E75Q37214157-CEB27CB2-EC32-4EEE-9444-90A2490F9EC8Q37741223-EB847FD3-A16A-47F3-912B-FAC96991BA96Q37941590-1A7AEC48-23BF-49FC-A1AC-20F8944B9832Q38052129-0F3996C9-95EB-403F-88F6-D231121BB00AQ38087362-7D9CFAFF-8269-4B80-856E-B22284A857EAQ38455048-4A5E3F03-D55E-49CB-B42D-3AA1F61FED85Q38894523-4F9500FC-7655-494B-A848-BD583A607C3FQ40285392-A83F9114-49D8-4760-8EC1-7C4428DE7F8BQ42140989-6BCB32F3-B1ED-447C-8A35-09913ADA5A94Q42250847-E6DA44F4-6C44-41E3-96F0-C689ECECC180Q43086158-2096ACFE-B7C1-41BA-BC23-E186DAD0964FQ44035574-A91191B8-6BD3-45E8-B26D-58CB3CD5350FQ44378847-AA333D97-D701-416A-83A6-97F37475827BQ45907459-B2FA265D-87DD-4293-8059-AA2FE5937861Q45918897-7BBC267E-307C-41C6-B4C6-DA4CE8EDC5B6Q46720950-336D3EF6-550D-4401-8AF1-C4D328C843C7Q47935287-3B85BDAE-C12C-48C8-BFFE-3A6CCD7EC700Q50065385-532DD928-0FCC-4FCE-8711-FF827AC03570Q50066705-FF3CCB0F-F46F-4B6D-A932-76C5D94F5891Q51355866-911A2073-12FA-4E92-BCE2-92623EDB5C98Q51935081-8E0EA9E2-37DD-4CD9-9CF4-F1F37673F0DDQ52663769-6D3F94E9-9871-4D0B-BFA9-411D76B9F0A7Q53297526-0BECD1A3-8965-4903-9703-6F54C4EDC17DQ56914927-F4A30DF4-3BAC-4AE5-A07D-1FBC026B2436Q56974074-FDE35671-B07C-4952-908F-11F3AC128944Q57798772-EC6B288B-148C-4E0B-AFE5-FC83BE9BDF0EQ61884178-488AA6F9-7A22-41ED-9DA3-E2472DA9C18FQ61884182-D57AAFC2-3673-41A1-87B9-1D596F12E12DQ89208359-D5573A84-E47D-4098-AE45-65F16832BBFCQ91805273-9330CFA4-79B1-4354-B608-6E49EE2B4E1D
P50
description
hulumtuese
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researcher
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wetenschapper
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հետազոտող
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name
Cecilia Bossa
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Cecilia Bossa
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Cecilia Bossa
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Cecilia Bossa
@nl
Cecilia Bossa
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type
label
Cecilia Bossa
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Cecilia Bossa
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Cecilia Bossa
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Cecilia Bossa
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Cecilia Bossa
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prefLabel
Cecilia Bossa
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Cecilia Bossa
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Cecilia Bossa
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Cecilia Bossa
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Cecilia Bossa
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P1053
K-4454-2016
P106
P1153
14043449400
P21
P31
P3829
P496
0000-0003-2084-2902