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 Co., Ltd. will be presenting and exhibiting at the 65th Battery Symposium from November 20 (Wednesday) to November 22 (Friday). 【Presentation】 Date and Time: November 20 (Wednesday) 13:20 - 13:40 Location: Kyoto International Conference Center, Hall D (1st Floor/Main Building, Room D) Title: "Analysis of the Anode-Electrolyte Interface in Lithium-Ion Batteries" We hope to see you there!

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!

■Bringing innovation to material development at the nano level through high-speed molecular simulation and machine learning■ With the advancement of molecular simulation technology, it has become possible to handle nano-level phenomena through computer simulations. Additionally, the combination of simulations and machine learning is expanding the range of possibilities. Schrödinger supports the enhancement and efficiency of analysis in your material development using the latest molecular simulation and machine learning technologies, as well as techniques that integrate both. At our exhibition booth, specialized technicians will explain the latest technologies and answer questions from visitors. *During the event, we will hold a seminar at our exhibition booth.* Theme: "Next-Generation Material Development through the Fusion of Nano-Level Simulation and Machine Learning" We will showcase the ability to predict the physical properties of various materials on a computer, along with case studies. You will have the opportunity to experience each software firsthand. 【Exhibition Information】 Exhibition Name: nano tech Dates: January 29 (Wednesday) - 31 (Friday), 2025 Venue: Tokyo Big Sight, East Hall 4 Booth Number: 4M-10 Exhibition Zone: Materials: Material Zone

Schrödinger, Inc. will participate in the 3rd Annual Meeting of the Japanese Society for Antibody Research. Venue: Sendai International Center (Miyagi) 【Luncheon Seminar】 Date and Time: December 11 (Wed) 12:30 - 13:30 Title: Schrödinger's approach to physics-based antibody analysis and design Presenter: Shuu Ichihara (Schrödinger, Inc.) 【Booth No. 26】 We will introduce Schrödinger's drug discovery support platform and contract analysis services. - Latest docking simulation analysis - High-speed and high-precision binding free energy predictions - Multifunctional ligand-based analysis - Analysis using machine learning - Antibody structure modeling - Protein-protein interaction analysis - Discussion platform for managing, sharing, and analyzing simulation data and experimental data of compounds - Contract analysis services for each simulation

Schrödinger, Inc. will participate in the 41st Medicinal Chemistry Symposium held at Kyoto Terrsa with a poster discussion, luncheon seminar, and exhibition. [Poster Discussion 1P-17] Date and Time: November 20 (Wednesday) 17:30 - 19:00 Title: In Silico Enabled Discovery of KAI-11101, a Preclinical DLK Inhibitor for the Treatment of Neurodegenerative Disease and Neuronal Injury Hidetaka Ikawa (Therapeutic Group, Schrödinger) [Luncheon Seminar LS-5] Date and Time: November 21 (Thursday) 12:20 - 13:40 Title: The Predict-First Paradigm: How Digital Chemistry is Shaping the Future of Drug Discovery Hidetaka Ikawa (Therapeutic Group, Schrödinger)

Schrödinger, Inc. will hold a luncheon seminar at the CBI Society 2024 Annual Conference. Schrödinger has strengths in drug discovery support tools based on molecular dynamics, such as FEP+, and is actively developing new features even now. In this seminar, we will explain the technical details and accuracy validation results of the latest features released in September of this year. Additionally, there will be poster presentations and an exhibition booth, so please feel free to stop by. 【Luncheon Seminar】 Date: Tuesday, October 29, 12:15 - 13:15 Venue: Tower Hall Funabori, 4th Floor <406> Title: Introduction to OPLS5 (Polarizable Force Field) and Prediction Technology for Dissociation Rate Constants (koff) 【Poster Presentation】 Date and Time: Tuesday, October 29, 16:00-17:00, Wednesday, October 30, 17:00-18:00 Predicting Lysine Reactivity: Insights from Constant-pH MD Simulations and Experimental Correlation 【Exhibition Booth No. 18】

Schrödinger, Inc. will be presenting and exhibiting at the 85th Autumn Meeting of the Japan Society of Applied Physics from September 16 (Monday) to September 20 (Friday). 【Presentation】 Date and Time: September 18 (Wednesday) 13:30 - 13:45 Title: "Exploration of New Titanium Nitride Structures Using Local Formal Charge" Presenter: Yuta Aoki, Schrödinger, Inc. Location: Niigata City, Toki Messe 2F A24 Keywords: oxynitride, semiconductor, photocatalyst We proposed a new titanium nitride with an optimal band structure for visible light-responsive photocatalysts for water splitting. To screen stable structures from a large number of candidate structures, we proposed a method to calculate the local formal charge of Ti atoms from local structures, which was used to narrow down the subjects for first-principles calculations. The resulting structure was found to have its valence band edge raised by over 1 eV compared to TiO2, indicating a band structure suitable for visible light water splitting. 【Booth】K-13

Schrödinger's drug discovery platform utilizes computational chemistry techniques based on the first principles of physics, enabling advanced drug design based on protein structural information. Its software is utilized by major pharmaceutical companies around the world. 【Symposium】 Date: June 11 (Tuesday) 9:15-11:45 Our Yuqi (Gary) Zhang will be one of the speakers at "Trends in Protein Science Aiming to Solve Pandemic Challenges." 【Luncheon Seminar】 Date: June 12 (Wednesday) 11:50 - 12:40 "Cutting-edge Antibody Engineering Based on Structure: The Interplay of Epitope Mapping, Cryo-EM, and in silico Techniques" Our Shuu Ichihara will be presenting. 【Poster Presentation】 Date: June 13 (Thursday) 13:30 - 14:30 "Structural Prediction of Antigen-Antibody Complexes Using Experimental Epitope Mapping and Low-Resolution CryoEM Data" Shuu Ichihara will present.

Schrödinger, Inc. will hold a materials science web seminar titled 'Schrodinger Materials Science Seminar Japan 2024' from June 4 (Tuesday) to June 7 (Friday). In recent years, computational chemistry has established itself as an essential foundational technology in the development of various materials, ranging from semiconductors and electronic components to everyday products. Since its founding in 1990, Schrödinger has continuously worked on enhancing software and informatics for molecular design, providing practical solutions for the efficiency of various material developments. We will be hosting a seminar to introduce case studies utilizing these software tools. The content will be satisfying for both those with experience in simulations and machine learning, as well as those who are just starting out. We welcome participation in any sessions of interest, so please feel free to join us.

Schrödinger, Inc. will exhibit at the 39th Annual Meeting of the Japanese Pharmaceutical Sciences Society. 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 that were previously difficult to achieve in practice. In particular, our company, Schrödinger, is actively engaged in the development of software for formulation research as a leading company in molecular simulation software. Furthermore, on Thursday, May 23rd, we will hold a luncheon seminar. 【Luncheon Seminar Date and Location】 May 23rd (Thursday) 12:40 - 13:40 Venue: Main Hall (Venue 1) 【Program】 Aiming for High Efficiency and DX in Formulation Research through Molecular Simulation In this seminar, we will introduce the latest features of our formulation research software and application examples using them. We look forward to your visit.

■Bringing Innovation to Material Development through High-Speed Molecular Simulation and Machine Learning■ With the advancement of molecular simulation technology, it has become possible to handle atomic and molecular level phenomena through computer simulations. Additionally, by combining molecular simulation with machine learning, it is now feasible to utilize machine learning in material development even when experimental data is scarce. Schrödinger supports the enhancement and efficiency of analysis in your material development using the latest molecular simulation and machine learning technologies, as well as techniques that integrate both. At our exhibition booth, specialized technicians will explain these technologies and answer any questions from visitors. We invite you to stop by and visit us. *Exhibition Information* Exhibition Name: 12th Plastic Japan Osaka within High-Functionality Materials Week Dates: May 8 (Wednesday) - 10 (Friday), 2024, 10:00 AM - 5:00 PM Venue: Intex Osaka, Hall 5 Booth Number: 7-24

**Bringing Innovation to Material Development: High-Speed Molecular Simulation and Machine Learning** Recently, there has been a growing interest in digital transformation (DX) across various fields, and efforts to utilize machine learning in the research and development of new materials are advancing. However, leveraging machine learning requires a large amount of experimental data, and gathering that data is not easy. Additionally, it is generally considered difficult to analyze phenomena within materials using only machine learning. At Schrödinger, we are developing a technology that integrates atomic-level simulation with machine learning to address this challenge. In this presentation, we will introduce our initiatives aimed at material development DX, focusing on examples from polymer materials. Date and Time: May 10 (Friday) 14:00 - 14:45 Location: Seminar venue within High-Functionality Materials Week, Intex Osaka Title: Material Development DX through Atomic-Level Simulation and Machine Learning *Advance registration is required to attend the presentation.*

■■Innovations in Material Development at the Nano Level through High-Speed Molecular Simulation and Machine Learning■■ A significant challenge in advancing nanotechnology is its small size. It is difficult to grasp what is actually happening due to the tiny scale, making material design at that size not easy. On the other hand, advancements in molecular simulation technology have made it possible to handle nano-level phenomena through computer simulations. Additionally, the combination of simulation and machine learning is expanding the range of possibilities. This seminar will introduce how the latest molecular simulations, machine learning, and technologies that integrate both can be utilized in material development. Date and Time: February 1 (Thursday) 13:00 - 13:45 Location: Main Theater Title: Nano-Level Material Development through High-Speed Molecular Simulation and Machine Learning

Schrödinger, Inc. will participate in the 40th Medicinal Chemistry Symposium. 【Poster Discussion 2P-13】 Date and Time: November 14 (Tuesday) 13:30 - 15:10 E-sol: Prediction of the unbound drug distribution coefficient (Kp,uu) between brain and plasma using quantum chemical calculations Shu Ichihara (Schrödinger, Inc.) In this presentation, I will report on E-sol, a method for predicting the unbound drug distribution coefficient (Kp,uu) between brain and plasma.

Schrödinger, Inc. will be exhibiting at the 2nd Annual Meeting of the Japanese Society for Antibody Research. Venue: Laika Nankoku Hall (Kagoshima) Dates: December 1 (Friday) - 3 (Sunday) 【Oral Presentation】 Date and Time: December 3 (Sunday) 15:10 - 15:35 Title: The Role and Impact of Computational Modeling in the Design and Development of Antibody-based Therapeutics Presenter: Eliud Oloo, Schrödinger, Inc. 【Poster Presentation】 Date and Time: December 2 (Saturday) 18:20 - 19:10 Title: Physics-based antibody analysis and design: Modeling of antigen-antibody complexes with disordered epitopes/very long CDR-H3 loops Presenter: Shuu Ichihara (Schrödinger, Inc.)

Schrödinger Co., Ltd. will be presenting and exhibiting at the 64th Battery Symposium from November 28 (Tuesday) to November 30 (Thursday). 【Presentation】 Date and Time: November 29 (Wednesday) 10:40 AM - 11:00 AM Location: Osaka International Convention Center (Grand Cube Osaka) 10F Room G (1008) Title: "Analysis of the Initial Process of SEI Formation in Lithium-Ion Batteries" We look forward to your visit.

This seminar, featuring researchers involved in the Schrödinger drug discovery research project, has received positive feedback from many viewers for presenting practical examples of computational chemistry in drug discovery. In this seminar, we will introduce specific cases of how democratized free energy perturbation (FEP+) calculations contribute to oncology and antiviral drug discovery programs. ■ Theme of the 7th Session Democratizing Access to Molecular Modeling Across Discovery Teams ★ For more details, please check the detailed information and registration button. *Participation from competing companies is not permitted.

Schrödinger, Inc. will be exhibiting at the 8th Chemoinformatics Autumn School. 【Company Booth / Presentation E-2】 Date and Time: November 28 (Tuesday) 13:30 - 14:00 【Poster Session P-34】 Date and Time: November 29 (Wednesday) 14:20 - 16:05 Scaling law for machine learning of chemically functionalized metal organic frameworks Yuta Aoki (Schrödinger, Inc.)

Schrödinger, Inc. will be presenting a poster and exhibiting at the 32nd Polymer Materials Forum from November 30 (Thursday) to December 1 (Friday). [Poster Presentation] Date and Time: November 30 (Thursday) at 11:50 Title: "Characterization of Photoresist Materials through Molecular Simulation" We hope you will stop by.

We are pleased to announce the 6th seminar in which researchers involved in the Schrödinger drug discovery project will present examples of computational chemistry drug discovery and provide an opportunity for questions and answers from the audience. ■Theme of the 6th Seminar: In Silico Enabled Discovery of Potent, Selective and Brain-penetrant DLK Inhibitors for the Treatment of Neurodegenerative Diseases ★For more details, please check the details and registration button. *Participation from other companies in the same industry is not permitted.

At the CBI Society 2023 Annual Conference, Schrödinger, Inc. will hold a luncheon seminar. In this seminar, titled "Overview of Schrödinger's Comprehensive Drug Discovery Support Services: Focusing on the Technical Background," we will provide a broad explanation and introduction to the technologies that underpin Schrödinger's drug discovery support services, including affinity predictions using FEP+, ultra-large-scale virtual screening utilizing AI technology, and ADMET property predictions through quantum chemical calculations. We will also have poster presentations and an exhibition booth, so please feel free to stop by. 【Luncheon Seminar】 CBI Society 2023 Conference Schrödinger Luncheon Seminar LS02 October 24 (Tuesday) 12:15 PM - 1:15 PM Venue: Tower Hall Funabori, 4th Floor, Room 401 【Poster Presentation】 October 24, 5:10 PM - 6:40 PM Venue: Tower Hall Funabori, 4th Floor, Room 401 "Elucidating the Mechanism of Action of Molecular Glue Protein Degraders: The Contribution of High-Energy Water Molecules Localized at the Protein Interface to DCAF15-Mediated Degradation of RBM39"

We would like to invite you to the 4th and 5th sessions of this seminar, where researchers involved in the Schrödinger drug discovery research project will present examples of computational chemistry drug discovery and provide an opportunity for questions and answers from the audience. ■ Theme of the 4th Session: Behind the Scenes of the Discovery of TYK2 Inhibitor Candidates Design of a Highly Selective, Allosteric, Picomolar TYK2 Inhibitor in Clinical Development Formulation ■ Theme of the 5th Session: Structure-Based Drug Discovery without a Structure Structure-Based Drug Discovery without a Structure: Enabling Accurate FEP+ Predictions for Targets and ADMET Anti-Targets with Unique Technologies and Dedicated Services ★ For more details, please check the details and registration button. * Participation from other companies in the same industry is not permitted.

Schrödinger, Inc. will hold a materials science web seminar titled 'Schrödinger Materials Science Seminar Japan 2023' from September 7 (Thursday) to September 15 (Friday). In recent years, computational chemistry has established itself as an essential foundational technology in various materials development, ranging from semiconductors and electronic components to everyday products. Since its founding in 1990, Schrödinger has continuously worked on enhancing software and informatics for molecular design, providing practical solutions for the efficiency of various materials development. We will be hosting a seminar to introduce case studies of these software applications. The content will be satisfying not only for those with experience in simulations and machine learning but also for those who are just starting out. You are very welcome to attend only the sessions that interest you, so please feel free to join us.

Schrödinger, Inc. will be exhibiting at the 23rd Annual Meeting of the Japanese Society for Protein Science. Utilizing computational chemistry techniques based on the first principles of physics, which are employed by major pharmaceutical companies worldwide, we enable advanced drug design based on protein structural information. - Antibody 3D modeling using the integrated solution "BioLuminate" for biologics and antibody drug discovery - Prediction of antigen-antibody complex structures using protein-protein docking - Affinity and stability predictions using Free Energy Perturbation (FEP) methods Additionally, we will hold a luncheon seminar on Thursday, July 6, starting at 11:50. 【Luncheon Seminar Date and Location】 Date: Thursday, July 6, 11:50 - 12:40 Venue: 3rd Floor, Room C 【Program】 Schrödinger's approach to physics-based antibody analysis and design: dealing with disordered epitopes and very long CDR H3 loop Shu Ichihara (Schrödinger, Inc.)

We would like to invite you to the second seminar where researchers involved in the Schrödinger drug discovery research project will introduce examples of computational chemistry drug discovery and provide an opportunity for questions and answers from the audience. We welcome broad participation from those who are interested in the latest technologies in quantitative simulation, the further efficiency of the DMTA (Design-Make-Test-Analyze) cycle enhanced by experimental validation, and those who are eager to engage in next-generation drug discovery research. ■ Theme of the Second Seminar In Silico Driven Drug Discovery of a Zwitterionic Integrin αvβ6 Development Candidate for Fibrosis ■ Speaker Aleksey Gerasyuto Vice President, Drug Discovery, Head of Chemistry, Schrödinger Therapeutics Group *Participation from other companies in the same industry is discouraged.

Schrödinger, Inc. will be exhibiting at the 11th Kansai Plastic Japan. *Exhibition Information* Exhibition Name: 11th Kansai Plastic Japan within Kansai High-Performance Materials Week Dates: May 17 (Wednesday) to May 19 (Friday), 2023, 10:00 AM to 5:00 PM Venue: Intex Osaka, Hall 6B Booth Number: 7-44 *Schrödinger Seminar Information* Location: Our exhibition booth Themes: 1. Research DX Platform LiveDesign that accelerates new material development Execute predictions the moment ideas are input! Enabling effective material development. Session Times: 10:30, 11:30, 1:00, 2:00, 3:00, 4:00 2. Material development through atomic-level simulations and machine learning Enabling predictions of physical properties of various materials on a computer. Case studies will be presented. Session Times: 11:00, 12:00, 1:30, 2:30, 3:30, 4:30 Please feel free to stop by!

Computational chemistry design methods in drug discovery are establishing their presence as one of the essential foundational technologies in the field. Since its founding in 1990, Schrödinger has continuously worked to enhance software and informatics for molecular design, providing practical solutions for pharmaceuticals and chemical materials. By leveraging its own simulation technologies and informatics infrastructure, Schrödinger has demonstrated a track record of efficiently producing high-quality drug designs in numerous drug discovery research projects. This seminar will feature researchers involved in Schrödinger's drug discovery projects presenting real-world examples of computational chemistry in drug discovery. ■ Theme of the First Session Developing potent and selective kinase inhibitors using at-scale FEP and protein FEP: a Wee1 case study ■ Speaker Jennifer Knight, Ph.D., Director, Schrödinger Therapeutics Group *Participation from competing companies is not permitted.