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■Dramatically Improving the Speed and Success Rate of Drug Discovery with the Power of Computational Chemistry■ Schrödinger's drug discovery contract analysis service utilizes cutting-edge computational chemistry technologies such as FEP+ and Glide, boasting experimental-level accuracy, to deliver results in a short period and at a fixed cost. We streamline various stages of drug discovery research, including virtual screening, lead optimization, and ADMET prediction. Leveraging over 30 years of research and development experience and extensive know-how, we strongly support your company's drug discovery challenges and accelerate research speed. At our booth, our experts will provide demonstrations using our equipment. Please feel free to stop by. 【Exhibition Information】 Exhibition Name: BioJapan Dates: October 8 (Wednesday) to October 10 (Friday), 2025 Venue: Pacifico Yokohama Booth Number: C-19 【Sponsor Seminar】 Date and Time: October 10, 13:00 - 14:00 Theme: The Cutting Edge of Computational Chemistry: Introduction to Drug Discovery Support Services that Deliver Results in a Short Time *Pre-registration is required.

Schrödinger, Inc. will be exhibiting at the 40th Annual Meeting of the Japanese Society of Pharmaceutical Sciences. Formulation research is an essential process in drug development, but in recent years, there has been a demand for greater efficiency and cost reduction. In this context, advancements in computer technology, molecular simulation, and machine learning have made it possible to achieve property predictions and simulations that were previously difficult to realize. Schrödinger, as a leading company in the fields of molecular-level simulation and machine learning, provides high-precision software and simulation services for formulation research. On Friday, May 23rd, we will hold a luncheon seminar. 【Luncheon Seminar Date and Location】 May 23rd (Friday) 11:55 - 12:55 Venue: Room 1 【Program】 Aiming for Greater Efficiency and Digital Transformation in Formulation Research through Molecular Simulation and Machine Learning In this seminar, we will introduce the latest features of our formulation research software and application examples using these tools. We look forward to your visit.

Schrödinger, Inc. will exhibit and present at the 145th Annual Meeting of the Pharmaceutical Society of Japan. Formulation research is one of the important processes in drug development, but in recent years, there has been a stronger demand for high efficiency and cost reduction. In this context, recent advancements in computers and molecular simulation technology have made it possible to predict physical properties, which was previously difficult to achieve in practice. In particular, our company is actively engaged in the development of software for formulation research as a leading company in molecular simulation software. 【Joint Symposium Date and Location】 March 27 (Thursday) 17:17 - 17:47 Venue: Room 4 (Fukuoka International Congress Center, 201 [2F]) Title: DX of Formulation Research Using Molecular Simulation and Machine Learning 【Exhibition Booth】 No.: 5F B-22 We look forward to your visit.

Schrödinger Co., Ltd. will give a presentation at the 92nd Annual Meeting of the Electrochemical Society from March 18 (Tuesday) to March 20 (Thursday). Date and Time: March 18 (Tuesday) 15:00 - 15:45 Location: Tokyo University of Agriculture and Technology, Koganei Campus, G1234 (Lecture Building 0024) Title: "Analysis of the Anode-Electrolyte Interface in Lithium-Ion Batteries" Speaker: Fumihiro Imoto

Schrödinger, Inc. will hold a webinar for materials science on February 19 (Wednesday) titled "Virtual testing of personal care and cosmetics formulations using digital chemistry methods." The development of sustainable products faces many challenges, requiring time, resources, and new raw materials. Predictive modeling is gaining attention to streamline this process. It allows for the identification of promising ingredients and formulations that meet standards, and provides molecular-level understanding through virtual testing using computational methods. Specifically, it enables the analysis of the behavior of individual components, the form of formulations, stability, and interactions with biological surfaces. Additionally, it allows for exploration of the interactions between products and packaging materials, helping to identify factors that significantly affect shelf life. In this seminar, we will demonstrate through case studies how computational chemistry can assist in product development, container design, and analysis during product use. We invite you to join us!