ADMET 物性予測・メディシナルケミストリーソフトウエア
ADMET Predictor® は、化合物構造から ADMET 物性を高速・高精度に予測します。第三者による数多くの論文で最も精度が高いとの評価を得ています。また、ユーザーデータに基づく独自の予測モデルを構築するモジュールも準備されており、in silico 初心者からエキスパートまで幅広くご利用いただけます。
新バージョン ADMET Predictor® 11 がリリースされました（Windows 版: 2023年7月18日、Linux 版: 7月20日）。
ADMET Predictor 製品資料最近の ADMET Predictor® ウェビナービデオ
最終更新日: 2021/09/16
ADMET Predictor® 10.3 (APX.3): Flagship machine learning platform for ADMET modeling
Panelist David Miller, VP of ADMET Cheminformatics will show some of the new features in APX.3, including details about a new REST API for deployment via Web services.
ADMET Predictor® 10.2 (APX.2): Machine learning platform for ADMET modeling with extended capabilities for discovery PBPK
Early assessment of PK properties using ADMET Predictor® HTPK Simulation Technology
Physiologically-based pharmacokinetic (PBPK) modeling, combined with in vitro and in vivo extrapolation (IVIVE) approaches...
Delivering on the promise of AI-driven drug discovery with ADMET Predictor® 10 (APX). Background and applications examples
Dr. Marvin Waldman will present a brief background behind generative chemistry applications and their relevance to ADMET Predictor® (APX).
ADMET Predictor® 10 (APX): Multi-threaded property prediction, new transporter models, AI-driven drug discovery and more
Eric Jamois, Director of Business Development, will host a webinar on Wednesday, September 16th to introduce the new ADMET Predictor® 10 (APX) release.
How To Improve Your Compound Design & Screening Using ADMET Property Prediction and PK Simulations Day 1
Simulations Plus, in partnerships with pharmaceutical companies globally, has made significant investments in its ADMET Predictor® platform to implement...
How To Improve Your Compound Design & Screening Using ADMET Property Prediction and PK Simulations Day 2
Simulations Plus, in partnerships with pharmaceutical companies globally, has made significant investments in its ADMET Predictor® platform to implement...
Deployment of ADMET PredictorR as a Solution for In-Silico Modeling of ADMET Properties
David Miller, Director of ADMET Cheminformatics, will introduce how ADMET PredictorR is used as a platform for modeling ADMET Properties.
