Quantitative analysis of aggregation-solubility relationship by in-silico solubility prediction

Tadaaki Mashimo1 Information and Mathematical Science Laboratory Inc., Tokyo, Japan;2 Japan Biological Informatics Consortium (JBIC), Tokyo, Japan

Yoshifumi Fukunishi3 Biomedicinal Information Research Center (BIRC), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, JapanCorrespondence[email protected]

Masaya Orita2 Japan Biological Informatics Consortium (JBIC), Tokyo, Japan;4 Chemistry Research Labs, Drug Discovery Research, Astellas Pharma Inc., Ibaraki, Japan

Naoko Katayama2 Japan Biological Informatics Consortium (JBIC), Tokyo, Japan;4 Chemistry Research Labs, Drug Discovery Research, Astellas Pharma Inc., Ibaraki, Japan

Shigeo Fujita2 Japan Biological Informatics Consortium (JBIC), Tokyo, Japan;5 Astellas Research Technology Inc., Ibaraki, Japan

Haruki Nakamura3 Biomedicinal Information Research Center (BIRC), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan;6 Institute for Protein Research, Osaka University, Osaka, Japan

Quantitative analysis of aggregation-solubility relationship by in-silico solubility prediction

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Quantitative analysis of aggregation-solubility relationship by in-silico solubility prediction

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