Kazan Federal University Digital Repository

Browsing by Subject "multiple instance learning"

Browsing by Subject "multiple instance learning"

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  • Nikonenko A.; Zankov D.; Baskin I.; Madzhidov T.; Polishchuk P. (2021)
    The most widely used QSAR approaches are mainly based on 2D molecular representation which ignores stereoconfiguration and conformational flexibility of compounds. 3D QSAR uses a single conformer of each compound which is ...

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