過去の新製品情報をご覧いただけます。
- 2019年11月1日
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macOS 10.15 Catalina 上でのMOE の動作について
macOS 10.15 Catalina 上でMOEをご利用される際いくつかの問題点があります。問題の回避方法は以下のリンクをご参照ください。
https://www.molsis.co.jp/lifescience/moe/support/doc/
Database AutoPH4: pharmacophore analysis of multiple protein structures
Chris Williams (Chemical Computing Group ULC)
Abstract: An automated approach to summarize pocket shapes and binding hot-spots from a collection of protein structures is presented. Pocket shapes are described using pocket volumes derived from Alpha Sites and molecular surfaces. Binding hot-spots are located using pharmacophore features generated by AutoPH4. Collections of pocket volumes and pharmacophores are analyzed using feature densities which map onto a universal grid the fraction of structures that possess a given feature at each point in space. Regions with high pharmacophore feature densities identify the most persistent interaction binding hot-spots over the collection of structures. Pocket volume densities detect and classify binding site regions into core pockets and sub-pocket regions. Fingerprints that represent pocket shape, sub-pocket presence and pharmacophore feature presence are derived and used to cluster and classify multiple protein structures using standard fingerprint clustering tools. Application of the method to fragment-based drug design, minor pocket detection, selectivity mapping, binding-mode classification and custom docking scoring function creation is presented.