| scholarly article | Q13442814 |
| P50 | author | Sudin Bhattacharya | Q55074149 |
| Qiang Zhang | Q90600315 | ||
| Melvin E. Andersen | Q51033384 | ||
| P2093 | author name string | Kim Boekelheide | |
| Paul L Carmichael | |||
| P2860 | cites work | Genetic progression and the waiting time to cancer | Q21563505 |
| Core transcriptional regulatory circuitry in human embryonic stem cells | Q24322016 | ||
| Mdm2 promotes the rapid degradation of p53 | Q24322597 | ||
| Control of pancreas and liver gene expression by HNF transcription factors | Q24618003 | ||
| The incoherent feed-forward loop can generate non-monotonic input functions for genes | Q24644242 | ||
| Structure and function of the feed-forward loop network motif | Q24683513 | ||
| Transcriptional regulatory networks in Saccharomyces cerevisiae | Q27860846 | ||
| Toxicity testing in the 21st century: a vision and a strategy | Q27921848 | ||
| Emergent properties of networks of biological signaling pathways | Q28293858 | ||
| A 21st century paradigm for evaluating the health hazards of nanoscale materials? | Q28389697 | ||
| Dose response relationship in anti-stress gene regulatory networks | Q28469152 | ||
| Cellular responses to DNA damage: cell-cycle checkpoints, apoptosis and the roles of p53 and ATM | Q28611443 | ||
| Network motifs in the transcriptional regulation network of Escherichia coli | Q29547342 | ||
| Network motifs: theory and experimental approaches | Q29615325 | ||
| Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell | Q29619703 | ||
| Self-perpetuating states in signal transduction: positive feedback, double-negative feedback and bistability | Q29619706 | ||
| Defining network topologies that can achieve biochemical adaptation. | Q29999690 | ||
| Oscillations and variability in the p53 system | Q30478427 | ||
| Reverse dosimetry: interpreting trihalomethanes biomonitoring data using physiologically based pharmacokinetic modeling | Q31077784 | ||
| Computational toxicology as implemented by the U.S. EPA: providing high throughput decision support tools for screening and assessing chemical exposure, hazard and risk | Q51686463 | ||
| Genetic regulatory networks programming hematopoietic stem cells and erythroid lineage specification | Q52020187 | ||
| Advancing exposure characterization for chemical evaluation and risk assessment | Q53467047 | ||
| Distinct Initiation and Maintenance Mechanisms Cooperate to Induce G1 Cell Cycle Arrest in Response to DNA Damage | Q57188003 | ||
| Forum Series: the "Vision" for Toxicity Testing in the 21st Century: promises and conundrums | Q82884579 | ||
| Toxicity testing in the 21st century: a view from the pharmaceutical industry | Q83815184 | ||
| Lessons learned from alternative methods and their validation for a new toxicology in the 21st century | Q84469199 | ||
| Implementing the National Academy's Vision and Strategy for Toxicity Testing: opportunities and challenges under the U.S. Toxic Substances Control Act | Q84469206 | ||
| Mechanistic influences for mutation induction curves after exposure to DNA-reactive carcinogens | Q40144479 | ||
| Evaluation of the ability of a battery of three in vitro genotoxicity tests to discriminate rodent carcinogens and non-carcinogens II. Further analysis of mammalian cell results, relative predictivity and tumour profiles | Q40268830 | ||
| The feasibility of replacing animal testing for assessing consumer safety: a suggested future direction. | Q40439366 | ||
| Checkpoint kinase 2 (Chk2) monomers or dimers phosphorylate Cdc25C after DNA damage regardless of threonine 68 phosphorylation | Q40696570 | ||
| The REACH perspective: toward a new concept of toxicity testing | Q42665240 | ||
| Xenobiotic-metabolizing enzyme and transporter gene expression in primary cultures of human hepatocytes modulated by ToxCast chemicals | Q43006957 | ||
| Sulforaphane-induced G2/M phase cell cycle arrest involves checkpoint kinase 2-mediated phosphorylation of cell division cycle 25C. | Q44836647 | ||
| Virtual tissues in toxicology | Q45259094 | ||
| Biokinetic modeling and in vitro-in vivo extrapolations | Q45303154 | ||
| Evaluation of the ability of a battery of three in vitro genotoxicity tests to discriminate rodent carcinogens and non-carcinogens I. Sensitivity, specificity and relative predictivity | Q46567543 | ||
| How to reduce false positive results when undertaking in vitro genotoxicity testing and thus avoid unnecessary follow-up animal tests: Report of an ECVAM Workshop | Q47581027 | ||
| Toxicity testing in the 21st century: a view from the chemical industry | Q49009819 | ||
| Computational systems biology and dose-response modeling in relation to new directions in toxicity testing | Q51048446 | ||
| Meeting the common needs of a more effective and efficient testing and assessment paradigm for chemical risk management | Q51627540 | ||
| Quantitative interpretation of human biomonitoring data | Q31160910 | ||
| A toxicology for the 21st century--mapping the road ahead | Q33346986 | ||
| Endocrine profiling and prioritization of environmental chemicals using ToxCast data | Q33687961 | ||
| The ups and downs of p53: understanding protein dynamics in single cells | Q33941653 | ||
| Negative autoregulation speeds the response times of transcription networks | Q33962256 | ||
| Toxicity testing in the 21st century: using the new toxicity testing paradigm to create a taxonomy of adverse effects | Q33988929 | ||
| Evaluation of the potential in vivo genotoxicity of quercetin | Q34012263 | ||
| The Coherent Feedforward Loop Serves as a Sign-sensitive Delay Element in Transcription Networks | Q34275513 | ||
| Mechanisms of chemical carcinogenesis and application to human cancer risk assessment | Q34344116 | ||
| Basal dynamics of p53 reveal transcriptionally attenuated pulses in cycling cells. | Q34414003 | ||
| The incoherent feed-forward loop accelerates the response-time of the gal system of Escherichia coli | Q34483407 | ||
| Flavonoids and alkenylbenzenes: mechanisms of mutagenic action and carcinogenic risk. | Q34557918 | ||
| High- to low-dose extrapolation: critical determinants involved in the dose response of carcinogenic substances | Q34660257 | ||
| Safety evaluation of cosmetics in the EU. Reality and challenges for the toxicologist | Q35792365 | ||
| The potential roles of p53 tumor suppressor in nucleotide excision repair (NER) and base excision repair (BER). | Q36017648 | ||
| Molecular and evolutionary basis of the cellular stress response | Q36041011 | ||
| Transcending the biomarker mindset: deciphering disease mechanisms at the single cell level | Q36365930 | ||
| Dissecting p53-dependent apoptosis. | Q36423933 | ||
| The p53 tumor suppressor participates in multiple cell cycle checkpoints | Q36495323 | ||
| Determination of genetic toxicity and potential carcinogenicity in vitro--challenges post the Seventh Amendment to the European Cosmetics Directive | Q36672072 | ||
| Cell lineage regulators in B and T cell development | Q36794284 | ||
| Proteins, drug targets and the mechanisms they control: the simple truth about complex networks | Q36969009 | ||
| Pragmatic challenges for the vision of toxicity testing in the 21st century in a regulatory context: another Ames test? ...or a new edition of "the Red Book"? | Q37101554 | ||
| Toxicology. Transforming environmental health protection | Q37185407 | ||
| Toxicity testing in the 21st century: bringing the vision to life | Q37346896 | ||
| Cellular stress response pathway system as a sentinel ensemble in toxicological screening | Q37536673 | ||
| The vision of toxicity testing in the 21st century: moving from discussion to action | Q37767311 | ||
| The future of toxicity testing | Q37767386 | ||
| Public databases supporting computational toxicology | Q37767387 | ||
| Dynamics of the p53-Mdm2 feedback loop in individual cells | Q39674103 | ||
| Endless possibilities: stem cells and the vision for toxicology testing in the 21st century | Q39808788 | ||
| Toxicity testing in the 21st century: how will it affect risk assessment? | Q39860600 | ||
| An animal protection perspective on 21st century toxicology | Q39860604 | ||
| The U.S. Environmental Protection Agency strategic plan for evaluating the toxicity of chemicals | Q39860611 | ||
| Recurrent initiation: a mechanism for triggering p53 pulses in response to DNA damage. | Q39983426 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 6 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | toxicity | Q274160 |
| biomedical investigative technique | Q66648976 | ||
| P304 | page(s) | e20887 | |
| P577 | publication date | 2011-01-01 | |
| 2011-06-20 | |||
| P13046 | publication type of scholarly work | review article | Q7318358 |
| P1433 | published in | PLOS One | Q564954 |
| P1476 | title | Toxicity testing in the 21 century: defining new risk assessment approaches based on perturbation of intracellular toxicity pathways | |
| P478 | volume | 6 |
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| Q38616250 | Adverse Outcome Pathways for Regulatory Applications: Examination of Four Case Studies With Different Degrees of Completeness and Scientific Confidence. |
| Q36904363 | AhR-mediated effects of dioxin on neuronal acetylcholinesterase expression in vitro |
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| Q40110572 | An in situ electrochemical detection method of cell viability |
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| Q52886000 | Approaches for characterizing threshold dose-response relationships for DNA-damage pathways involved in carcinogenicity in vivo and micronuclei formation in vitro |
| Q58750452 | Bridging the Data Gap From Toxicity Testing to Chemical Safety Assessment Through Computational Modeling |
| Q36655325 | Building shared experience to advance practical application of pathway-based toxicology: liver toxicity mode-of-action |
| Q33997705 | CSEO - the Cigarette Smoke Exposure Ontology |
| Q43697714 | Complementary detection of embryotoxic properties of substances in the neural and cardiac embryonic stem cell tests. |
| Q23919015 | Considerations for using genetic and epigenetic information in occupational health risk assessment and standard setting |
| Q36759955 | Contributions of DNA repair and damage response pathways to the non-linear genotoxic responses of alkylating agents |
| Q39346237 | Detection of the cell viability and proliferation using two-signal electrochemical method |
| Q84926339 | Determination of emodin in L-02 cells and cell culture media with liquid chromatography–mass spectrometry: Application to a cellular toxicokinetic study |
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