Computer systems for the prediction of toxicity: an update.
about
The role of multiscale computational approaches for rational design of conventional and nanoparticle oral drug delivery systemsIntegrated Computational Solution for Predicting Skin Sensitization Potential of MoleculesNovel paradigms for drug discovery: computational multitarget screeningThe acquisition and application of absorption, distribution, metabolism, and excretion (ADME) data in agricultural chemical safety assessments.Genome-wide characterisation of the binding repertoire of small molecule drugs.Toxicological and clinical computational analysis and the US FDA/CDER.Integration of bioinformatics to biodegradation.Subtractive genomics approach to identify putative drug targets and identification of drug-like molecules for beta subunit of DNA polymerase III in Streptococcus species.Low potency toxins reveal dense interaction networks in metabolism.CHEMICAL AND BIOLOGICAL DESCRIPTOR INTEGRATION IMPROVES COMPUTATIONAL MODELING OF IN VIVO RAT TOXICITY.Prediction methods and databases within chemoinformatics: emphasis on drugs and drug candidates.High-throughput electronic biology: mining information for drug discovery.Concept of REACH and impact on evaluation of chemicals.A current practice for predicting ocular toxicity of systemically delivered drugs.Prediction of the effect of formulation on the toxicity of chemicals.Computational toxicology at the European Commission's Joint Research Centre.New and emerging technologies for genetic toxicity testing.Challenges for computational structure-activity modelling for predicting chemical toxicity: future improvements?In silico models for drug-induced liver injury--current status.The impact of assay technology as applied to safety assessment in reducing compound attrition in drug discovery.Toward predictive models for drug-induced liver injury in humans: are we there yet?In silico ADME/T modelling for rational drug design.Toxicophore exploration as a screening technology for drug design and discovery: techniques, scope and limitations.Effectiveness of CASE Ultra Expert System in Evaluating Adverse Effects of Drugs.CISOC-PSCT: a predictive system for carcinogenic toxicity.Molecular structure-based prediction of the steady-state blood concentrations of inhaled organics in rats.A comparative study of support vector machine, artificial neural network and bayesian classifier for mutagenicity prediction.Association of feature gene expression with structural fingerprints of chemical compounds.In vivo genotoxicity and cytotoxicity assessment of a novel quinoxalinone with trichomonacide activity.Prediction of acute mammalian toxicity using QSAR methods: a case study of sulfur mustard and its breakdown products.Aconitum and delphinium diterpenoid alkaloids of local anesthetic activity: comparative QSAR analysis based on GA-MLRA/PLS and optimal descriptors approach.The Need for, and the Role of the Toxicological Chemist in the Design of Safer Chemicals.Prediction of hERG Liability - Using SVM Classification, Bootstrapping and Jackknifing.Toxizitätsvorhersage im IntranetComputational toxicology: an overview of the sources of data and of modelling methodsIn Silico ADME/Tox Predictions
P2860
Q28388493-3D212D1D-0999-45C4-9641-4A10367505F7Q28396208-55E1611B-5FB9-48B5-9F82-1DC650F986CCQ30662767-49580342-71AD-460A-BE00-6BFB43E05416Q31041215-90EFF623-E811-482D-80C5-84FF730637E5Q33209914-4A0230DF-A80C-4876-906F-13769D97F0E6Q33271454-51AB7F91-E239-466A-8789-D46F5B51536DQ33577072-B6B76FB7-E0ED-411C-9DB9-9629A2C03E09Q34194875-2CB6B71F-A81D-45B2-9300-44C98DB97C4FQ35929358-9466CEE6-1E44-40C2-AAA4-E8DDC64BC6EFQ36020110-1B894AEA-1850-4A70-91B9-F01A32DFD158Q36043183-7FE5FFA5-AD8A-47C8-A6D3-795C120833ACQ36748142-975F6E05-1503-4017-AC7E-F63F7C04CAC9Q37163771-C6C2173F-5032-44C3-8DEE-A9710301B7D7Q37514300-A90A3817-FEE9-4A67-950E-DC099BCDD193Q37643371-F0EFAA4B-6313-4C67-958C-BCB398DA375DQ37742643-0F83B738-1B82-4BD6-A8F5-C165D8B7BF02Q37782591-463771FA-6CFB-40B8-B583-78EB3CAFC553Q37901054-9963B77E-5AAA-4B32-8FFA-67820EA73D47Q37976120-FDEACC26-7E21-482D-BF71-2ACAF424F391Q37999093-0C43CC3A-AF63-43CF-9E47-DBBBC29C5B68Q38187450-A5430022-6A68-402D-9F71-0B27B4BFF268Q38578341-28CEBF83-CAF7-4D14-9852-2FD7AB3F18C2Q38581155-8C0CCD7A-CF23-46F2-9901-D819538832CCQ39536154-9F4E0FBE-2E9E-4995-99B4-589361BC3F5CQ40491376-680A2011-73B8-4E7B-8775-A3AA4979F510Q43215658-FED025E0-D922-4C0E-B32C-10EA6C4D3C58Q44219505-09D385BB-13BE-4B14-BC11-2CE8B26043E2Q44740187-1D8D89A2-36C4-4092-BAB3-005254786D52Q45985861-70D1D10D-DBD1-47A2-A5D9-3CEBF1D45C2DQ47329221-E2AAAABA-B087-4F40-80BB-1B94BC0554B2Q47813418-47E5E005-A4FF-4A5B-BC1A-0F7A9870EFA4Q50065411-8A4E8999-2086-49B6-8414-9E3A59FAD85BQ53776536-79C92966-1641-4B31-8057-AF450410E6BAQ56919059-9177A61A-E666-4EB6-8600-36CCAA966521Q56977996-07309D30-CE2B-417F-9467-BEFD40A6A125Q56984194-C32DD5E1-67F2-4883-B6A7-1A9E202ED50D
P2860
Computer systems for the prediction of toxicity: an update.
description
2002 nî lūn-bûn
@nan
2002 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի մարտին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Computer systems for the prediction of toxicity: an update.
@ast
Computer systems for the prediction of toxicity: an update.
@en
Computer systems for the prediction of toxicity: an update.
@nl
type
label
Computer systems for the prediction of toxicity: an update.
@ast
Computer systems for the prediction of toxicity: an update.
@en
Computer systems for the prediction of toxicity: an update.
@nl
prefLabel
Computer systems for the prediction of toxicity: an update.
@ast
Computer systems for the prediction of toxicity: an update.
@en
Computer systems for the prediction of toxicity: an update.
@nl
P1476
Computer systems for the prediction of toxicity: an update.
@en
P2093
Nigel Greene
P304
P356
10.1016/S0169-409X(02)00012-1
P407
P577
2002-03-01T00:00:00Z