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Achieving Innovation Through Collaborative Progresspdf fileDerek NexusViticIntermediates
Generation of TD50 values for carcinogenicity study dataLhasa Carcinogenicity Database
2019 Webinar Zeneth 8: A faster, more intuitive, degradation predictive system - RecordingZeneth
2019 Webinar Zeneth 8: A faster, more intuitive, degradation predictive system - Slidespdf fileZeneth
Mirabilis 3.1.2 Linux Installation Guidepdf fileMirabilis
Mirabilis 3.1.2 Windows Installation Guidepdf fileMirabilis
Mirabilis 3.1.2 Release Notespdf fileMirabilis
Product Update 2019pdf fileDerek NexusSarah NexusZenethViticSetariaMirabilisMeteor NexusLhasa Carcinogenicity DatabaseKaptisEffiris
Aromatic Amines 2019.1.0 Release Notespdf fileAromatic AminesVitic
Setaria 3.1.0 Release Notespdf fileSetaria
Setaria 3.1.0 Installation Guidepdf fileSetaria
Setaria 3.1.0 Business Administrator Guidepdf fileSetaria
Understanding the Setaria API using Swaggerpdf fileSetaria
Current advances in skin sensitization in silico predictions and their use in a defined approachpdf fileDerek Nexus
Increased Efficiency in Knowledge Base Building for Degradationpdf fileZeneth
A knowledge-based system for the prediction of forced degradation of organic compoundspdf fileZeneth
Mirabilis: the continuing development of applied chemical knowledge for the in silico purge toolpdf fileMirabilis
Utilising ChEMBL data for building secondary pharmacology modelspdf fileEffiris
Regulatory Acceptance of Risk-Based Control Strategies for ICH Q3D: Using Shared Elemental Impurities Data for Risk AssessmentsElemental Impurities
A New Semi-Automated Computer-Based System for Assessing the Purge of Mutagenic ImpuritiesMirabilis
Predictive Toxicology: Using In Silico Systemspdf fileDerek NexusSarah Nexus
Mirabilis 3.1 CoverageMirabilis
Development of the Mirabilis Knowledge Base for PMI Purge Prediction, Knowledge, Experience and Reaction Miningpdf fileMirabilis
How low can you go?pdf file
Improving the predictive performance of in silico aromatic amine mutagencitiy alertspdf fileAromatic Amines

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VAT number 396 8737 77 | Lhasa Limited is registered as a charity (290866)| Company Registration Number 01765239 (England and Wales).

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