Content Library

• Sep 11th – Nov 6th, 2024

Computationally-Guided Drug Formulation Webinar Series

Join us this fall for Schrödinger’s Drug Formulation Webinar Series – five webinars in which we will explore how the latest computational modeling tools are impacting the various steps in the pharmaceutical formulation process.

• Oct 17, 2024

Schrödinger デジタル創薬セミナー: Into the Clinic~計算化学がもたらす創薬プロセスの変貌~第13回

Broadly Impacting Biologics Discovery via Physics-Based Modeling: Antibody Affinity, pH-Sensing and More

• Sep 25, 2024

Computational reactivity and catalysis for drug synthesis

This webinar will take an in-depth look at how computational modeling is transforming pharmaceutical synthesis.

• Sep 12, 2024

Accelerated in silico discovery of SGR-1505: A potent MALT1 allosteric inhibitor for the treatment of mature B-cell malignancies

We are delighted to bring you another webinar in our series Stories of Drug Hunting in a Digital Age – featuring conversations with veteran drug hunters who share their unique drug discovery stories, from idea to development candidate.

• Sep 11, 2024

Characterizing small drug-like molecules with automated computational spectra prediction

In this presentation, we will present examples that demonstrate the use of Jaguar Spectroscopy to typical modeling scenarios involving flexible drug-like molecules.

• Aug 13, 2024

Empowering scientists with integrated AI/ML modeling for rapid molecular property predictions

In this webinar, we will present LiveDesign Learning, a new module in Schrödinger’s LiveDesign collaborative enterprise informatics platform, for training and deploying state-of-the-art AI/ML models with minimal manual intervention.

• Jul 6, 2024

From Potential Energy to Free Energy 从势能到自由能–薛定谔的FEP+及物理驱动平台如何革新制药行业的计算药物发现

• Jul 6, 2024

Modern Virtual Screening Technologies 利用薛定谔数字化平台进行现代虚拟筛选

• Jul 6, 2024

The Predict-First Paradigm: How Digital Chemistry is Shaping the Future of Drug Discovery 预测优先范式： 数字化学如何塑造药物发现的未来

• Jun 25, 2024

Expediting FEP+ model optimization for challenging systems with a fully automated, machine learning-driven workflow

FEP+ is a powerful predictive technology in drug discovery – with applications from hit discovery through lead optimization. A critical first step in deploying FEP+ is to validate and optimize the model for the protein-ligand system of interest.

• Jun 18, 2024

Schrödinger デジタル創薬セミナー: Into the Clinic ~計算化学がもたらす創薬プロセスの変貌~ 第11回

強固なコンフォメーションのアンサンブル生成能力、受容体との相互作用を予測するための新しいドッキングワークフロー、ペプチド薬開発における特性空間の微調整の強化など、進化した構造ベースのツールを用いた事例を紹介します

• May 21, 2024

LiveDesign for Biologics: Improving and expediting biologics discovery with a centralized, collaborative informatics platform

Biologics discovery teams are in need of a comprehensive way to capture and analyze immense amounts of data across all stages of the discovery process.