Drug Discovery Computational Workshop (Tokyo, Higashi-Ikebukuro)

In silico screening and MD can be easily performed.

MF myPresto is a graphical user interface (GUI) software developed for the molecular simulation system myPresto, which supports drug development and was developed as part of a commissioned project by the Ministry of Economy, Trade and Industry, NEDO, and AMED. By using MF myPresto, molecular dynamics (MD) calculations, docking simulations, and in silico screening can be easily performed with myPresto.

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Drug design software with high-speed screening calculation capabilities.

MolDesk Screening is a GUI program developed by Information Mathematical Bio Co., Ltd. to efficiently utilize the molecular simulation system myPresto for drug discovery support. MyPresto was developed as part of a commissioned project from the Ministry of Economy, Trade and Industry, NEDO, and AMED. In MolDesk Screening ver.1.1, virtual screening of 2 million compounds can be performed on a PC (8 parallel) in half a day to 2 days. During virtual screening, four different ranking methods—docking score order, MTS method, machine learning MTS method, and machine learning DSI method—can be used selectively depending on the situation. 【Features】 ■ Fast screening calculations executed in thread parallelism ■ Easy confirmation of docking poses for top compounds ■ High-precision pocket exploration using myPresto's Molsite ■ Ability to substitute amino acids in proteins with other amino acids (supports 40 types including chemically modified amino acids) ■ High-speed MD parallel calculations using MPI/GPU (NVIDIA CUDA) For more details, please refer to the catalog or feel free to contact us.

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Support to quickly initiate experiments for the exploration of candidate drug compounds.

Bio Modeling Research Co., Ltd. supports experimental research in the life sciences using IT technology. We assist in quickly starting experiments for drug candidate compound discovery, from docking calculations to the initiation of experiments. Bio Modeling Research utilizes the FOCUS supercomputer operated by the Computational Science Promotion Foundation and the HGC supercomputer at the University of Tokyo's Institute of Medical Science, enabling relatively inexpensive large-scale computations using over 500 cores. 【Features】 - Primarily uses myPresto for in silico screening calculations - Sales and support for the use of MF myPresto developed by Fearlux Co., Ltd. - Sales and support for the use of MolDesk developed by Information Mathematical Biology Co., Ltd. - Bio Modeling Research is a supporting member of the Computational Science Promotion Foundation. For more details, please contact us or view the information from "PDF Download."

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We would like to express our congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will be showcasing a number of products, including our new product, the Packaging Container Air Leak Test (Pin Hole Inspection) Device | MSQ-2003 series. We sincerely apologize for the inconvenience during your busy schedule, but we would like to cordially invite you to attend this event. 【 Trade Show Name 】 【 Dates 】 【 Venue/Booth Number 】

Yazaki Energy System will be exhibiting at the "14th Agricultural WEEK (commonly known as J-AGRI)" held at Makuhari Messe. In response to challenges surrounding agriculture, such as record heat and soaring energy prices, our company proposes an agricultural system that utilizes surplus solar heat and waste heat from factories during the summer to support stable cultivation throughout the year, from winter heating to summer cooling. ■ Exhibition Details (Booth Number: 25-47) <Closed-type Agricultural House> Results from the second season and initiatives for the third season <Localized Cooling in Solar-Powered Agricultural Houses> Mechanism of substrate cooling, comparison of energy consumption with spatial cooling, growth conditions this summer <Cooling and Heating with Solar Heat> Examples of crown heating and house cooling, utilization of surplus heat in summer <Cooling of Crops and Workers with Well Water> Exhibition of a prototype well water cooler and proposals for the use of cooling jackets When you visit, please be sure to stop by our booth.

We would like to inform you about the autumn and winter internship opportunities for the 2028 graduates. 1. Open Company Dates: October 23, 2026 (Friday), November 11, 2026 (Wednesday), December 10, 2026 (Thursday), January 21, 2027 (Thursday) Time: 13:30 - 15:30 Location: Online (Microsoft Teams) 2. 1-Day Job Experience Dates: November 17, 2026 (Tuesday), December 16, 2026 (Wednesday) January 15, 2027 (Friday), January 27, 2027 (Wednesday), February 4, 2027 (Thursday), February 10, 2027 (Wednesday), February 18, 2027 (Thursday) Time: 10:00 - 17:30 (tentative) Location: Takaya Corporation Headquarters (661-1 Ibara-cho, Ibara City, Okayama Prefecture)

Notice of participation in the "FOOD Expo 2026." 【Date and Time】 　November 11 (Wednesday) - 13 (Friday), 2026 　Opening hours: 10:00 AM - 5:00 PM 【Venue】 　Tokyo Big Sight 　East Hall 2, Booth Number B-36 【Exhibits】 　Cardboard insulated boxes 　Craft cooler cubes 　Vacuum insulated panel 　Pallet cubes

[Lecture Topics] 1. Co-creation Strategy to Deliver AI to the Field - Business Development and Joint Ventures in the Era of Generative AI and Physical AI Mr. Haruto Suzuki, Industrial and Regional Research Department, Development Bank of Japan 1. The Mechanism of Generative AI and Its Current Utilization by Companies 2. Expansion of the Generative AI Market and AI Infrastructure 3. Transition from Generative AI to Physical AI 4. Bottlenecks in Social Implementation and Solutions through Joint Ventures 5. Formation of an Implementation Ecosystem through Policy and Finance 6. Q&A / Business Card Exchange 2. Needs, Development Trends, Future Possibilities, and Challenges of Physical AI Mr. Kazushi Asama, Senior Researcher, Next-Generation Robot Research Organization, Waseda University / Emeritus Professor, University of Tokyo 1. What Physical AI Means 2. Needs for Physical AI and the Technological Trends of Generative AI Behind It 3. Development Trends of Physical AI 4. Future Possibilities and Challenges of Physical AI 5. Q&A / Business Card Exchange