The Faculty of Mathematics and Natural Sciences: Search
Now showing items 11-14 of 14
Evolution of the Activity Cliff Concept and Practical Implications for Compound Design
(2021-07-22)
Entering the “big data” era, a number of different research areas have witnessed an enormous increase in data at an exponential rate. For drug discovery, various publicly available protein structure and compound bioactivity ...
Predicting Rules for Cancer Subtype Classification using Grammar-Based Genetic Programming on various Genomic Data Types
(2018-03-12)
With the advent of high-throughput methods more genomic data then ever has been generated during the past decade. As these technologies remain cost intensive and not worthwhile for every research group, databases, such as ...
Knowledge Management approaches to model pathophysiological mechanisms and discover drug targets in Multiple Sclerosis
(2019-04-30)
Multiple Sclerosis (MS) is one of the most prevalent neurodegenerative diseases for which a cure is not yet available. MS is a complex disease for numerous reasons; its etiology is unknown, the diagnosis is not exclusive, ...
Deep Generative Modelling in Systems Medicine: From Transcriptomics Data to Drug Development
(2024-02-02)
(noch nicht zugänglich / not yet accessible)