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TitlePublishedTypeProducts
Achieving Innovation Through Collaborative ProgressNovember 2019pdf fileDerek NexusVitic NexusIntermediates
Generation of TD50 values for carcinogenicity study dataNovember 2019
2020 Zeneth 8 Webinar RecordingNovember 2019Zeneth
2020 Zeneth 8 WebinarNovember 2019pdf fileZeneth
Mirabilis 3.1.2 Linux Installation GuideNovember 2019pdf fileMirabilis
Mirabilis 3.1.2 Windows Installation GuideNovember 2019pdf fileMirabilis
Mirabilis 3.1.2 Release NotesNovember 2019pdf fileMirabilis
Aromatic Amines 2019.1.0 Release NotesOctober 2019pdf fileVitic Nexus
Setaria 3.1.0 Release NotesOctober 2019pdf fileSetaria
Setaria 3.1.0 Installation GuideOctober 2019pdf fileSetaria
Setaria 3.1.0 Business Administrator GuideOctober 2019pdf fileSetaria
Understanding the Setaria API using SwaggerOctober 2019pdf fileSetaria
Current advances in skin sensitization in silico predictions and their use in a defined approachOctober 2019pdf fileDerek Nexus
Increased Efficiency in Knowledge Base Building for DegradationOctober 2019pdf fileZeneth
A knowledge-based system for the prediction of forced degradation of organic compoundsOctober 2019pdf fileZeneth
Mirabilis: the continuing development of applied chemical knowledge for the in silico purge toolOctober 2019pdf fileMirabilis
Utilising ChEMBL data for building secondary pharmacology modelsOctober 2019pdf fileEffiris
Regulatory Acceptance of Risk-Based Control Strategies for ICH Q3D: Using Shared Elemental Impurities Data for Risk AssessmentsOctober 2019
A New Semi-Automated Computer-Based System for Assessing the Purge of Mutagenic ImpuritiesOctober 2019Mirabilis
Predictive Toxicology: Using In Silico SystemsOctober 2019pdf fileDerek NexusSarah Nexus
Mirabilis 3.1 CoverageOctober 2019Mirabilis
Development of the Mirabilis Knowledge Base for PMI Purge Prediction, Knowledge, Experience and Reaction MiningSeptember 2019pdf fileMirabilis
How low can you go?September 2019pdf file
Improving the predictive performance of in silico aromatic amine mutagencitiy alertsSeptember 2019pdf file
ICH M7 Expert Review Examples PresentationSeptember 2019pdf file

© 2019 Lhasa Limited | Registered office: Granary Wharf House, 2 Canal Wharf, Leeds, LS11 5PS, UK Tel: +44 (0)113 394 6020
VAT number 396 8737 77 | Lhasa Limited is registered as a charity (290866)| Company Registration Number 01765239 (England and Wales).

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