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TitlePublishedTypeProducts
The use of in-silico tools to assist in the practical management of impurities under ICH M7.December 2019
Approaches to Skin Sensitisation PredictionNovember 2019pdf fileDerek Nexus
Data Sharing with LhasaNovember 2019pdf fileDerek Nexus
Improving performance of structural alerts for the in vitro mutagenicity endpoint using proprietary data - Rachael TennantNovember 2019pdf fileDerek Nexus
Using an Adverse Outcome Pathway framework to ground approaches in predictive toxicologyNovember 2019pdf file
Mirabilis - Case Study of a Risk Assessment for ICH M7 Control of ImpuritiesNovember 2019pdf fileMirabilis
Undertaking expert review under the ICH M7 guidelines - Chris BarberNovember 2019pdf file
Use of Mirabilis based purge calculations to understand MI related risk and control strategy options - Chris BarberNovember 2019pdf fileMirabilis
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

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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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