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GPTS 2024
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Poster
Poster Walk and Get Together 10
Computational Toxicology
Termin
Datum:
13.03.2024
Zeit:
17:00
–
18:30
Ort / Stream:
Poster Self-Study 10
Programm
Poster Self-Study
P128
Selective HDAC8 inhibition for haematological cancers: A step towards effective and non-toxic inhibitor discovery using computational techniques
Samima Khatun (Kolkata / IN)
Computational Toxicology
Poster Self-Study
P129
The assessment of non-genotoxic carcinogenicity in pesticides using in silico tools
James Firman (Liverpool / GB)
Computational Toxicology
Poster Self-Study
P130
AI-based carcinogenic risk evaluation for human exposure
Helga Stopper (Würzburg / DE)
Computational Toxicology
Poster Self-Study
P131
Consolidated octanol/water partition coefficients: Combining multiple estimates from different methods to reduce uncertainties in log Kow
Monika Nendza (Luhnstedt / DE)
Computational Toxicology
Poster Self-Study
P132
A New OECD Guidance Document for Reporting Quantitative Structure-Activity Relationship (QSAR) Models
Tina Hofmaier (Vienna / AT)
Computational Toxicology
Poster Self-Study
P133
A non-clinical and clinical IUCLID database for 530 pharmaceuticals
Jochen vom Brocke (Espoo / FI)
Computational Toxicology
v1.19.0
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