Poster Awards
---------------------** Best Poster **---------------------- |
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| P6-12 | 3D-RISM-AI: A machine learning approach to predict protein-ligand binding affinity using 3D-RISM |
| Kazu Osaki, Tsutomu Yamane, Toru Ekimoto, Mitsunori Ikeguchi | |
---------------------* Excellent Poster *-------------------- |
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| P1-28 | Advanced methods to predict the property of cyclic peptides: exhaustive and efficient conformation search |
| Kentaro Takai, Sakiko Mori, Yoshiaki Tanida, Atsushi Tomonaga, Hiroyuki Sato, Azuma Matsuura, Hirotaka Oshima, Mutsuyo Wada, Akihiko Ueda, Seiji Fukui |
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| P3-15 | Validation of protein structure from low resolution density map using Deep Learning |
| Miwa Sato, Hiroyuki Nakagawa, Yuichi Kokabu, Ikuko Miyaguchi, Akiko Kashima, Biao Ma, Sigeyuki Matsumoto, Atsushi Tokuhisa, Masateru Ohta, Mitsunori Ikeguchi | |
| P3-16 | Automated X-ray crystallographical inhibitor screening against an insect ecdysteroidogenic enzyme, Noppera-bo |
| Kotaro Koiwai, Kazue Inaba, Fumiaki Yumoto, Yusuke Yamada, Ryusuke Niwa, Toshiya Senda | |
| P5-08 | Development of a pharmacokinetics prediction system using multiscale integrated modeling:15. Development of an in silico prediction system of human renal excretion and clearance from chemical structure information |
| Reiko Watanabe, Rikiya Ohashi, Tsuyoshi Esaki, Hitoshi Kawashima, Yayoi Natsume-Kitatani, Chioko Nagao, Kenji Mizuguchi |
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| P5-11 | QSAR model to predict Kp,uu,brain with small-scale dataset -incorporating predicted values of related parameters- |
| Yuki Umemori, Koichi Handa, Seishiro Sakamoto, Shin Umeda | |
| P6-18 | Focused Library Generative Model for GPCR Family |
| Gen Li, Nobuaki Yasuo, Masakazu Sekijima | |
| P9-01 | Attempts to establish the in vitro BBB model suitable for drug development - Comparative study of 2D rat model, 2D human cell line model, and 3D human cell line model - |
| Kimiko Kitamura, Yukari Shigemoto-Mogami, Kazue Hoshikawa, Agathe Figarol, Michiya Matsusaki, Tomomi Furihata, Seiichi Ishida, Kaoru Sato |
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| P10-01 | Evidence for the utility of human induced pluripotent stem cell-derived neurons in safety pharmacology-fact data indicating the achievement of network activities |
| Kanako Takahashi, Kaori Chujo, Yasunari Kanda, Aoi Odawara, Ikuro Suzuki, Kaoru Sato | |
Call for Poster and/or Oral Presentations
| >>Poster Titles Please check your poster number, and see below for your duty-time. |
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| Abstract submission : | May 7 (Tue) - |
<Poster Presentation>
| Dates | October 22 (Tue) 10:00 - October 24 (Thu) 16:10 | |||||||||||||||||||||
| Place | Exhibition Hall (1st floor) | |||||||||||||||||||||
| Duty Time |
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| Set-up time | October 21 (Mon) : 16:00-18:00 October 22 (Tue) : -10:00 |
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| Board size | 90cm (width) x 210cm (height) | |||||||||||||||||||||
| Language | Poster: English Oral Presentation: English (Also available in Japanese) |
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| Poster Removal | October 24 (Thu) : 16:10～16:30 All materials left after 17:30 will be disposed. |
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<Submission Instructions>
- All presenters must complete registration before submitting an abstract.
- Please select one of the following topics (Topics subject to change).
1) Molecular recognition and molecular modeling Theoretical and computational studies on intermolecular interactions which govern biomolecular recognition 2) In silico drug discovery Computational studies on drug development and related technologies 3) Structural biology Structural biology is a branch of the molecular biology, and biophysics concerned with the molecular structure of biological macro molecules (proteins,nuclei acids and their complexes), how they aquire the structures they have and how alternations in their structures affect their function. 4) Bioinformatics and its applications in medicine Development and application of bioinformatics methods in genomics, transcriptomics, proteomics, and metabolomics for drug discovery and system modeling of human diseases 5) Information and computational approach for drug design and ADMET study Dry and wet studies which focus on drug design and ADMET (absorption, distribution, metabolism, excretion and toxicity) based on information and computational approach 6) AI for drug discovery and medical treatment Basic and applied researches on Artificial Intelligence (AI) that can be applied in drug discovery or medical field 7) Drug Discovery Data Science Reserach area for collecting, processing and analyzing big data related to drug discovery 8) Molecular Robotics Research area for the technologies, applications and their ethics related to molecular artifacts with sensors, actuators and intelligence, which consist of DNA nano structures, motor proteins, microtubules, and so on. 9) Regulatory Sciences Studies on drug adverse effect predicion or drug lifecycle management utilizing AI-supported analysis, big data, and other computational approach 10) Emerging new technology - Some of the accepted abstracts may be assigned to Oral presentation by Program Committee.
- Your abstract should be formatted according to the template which can be downloaded here and converted to a PDF file. (Please underline the name of presenter)
Download WORD template (>>template.doc)
PDF sample (>>sample.pdf) - Please click on the [Poster Submission] button below.
Online Submission
- Click on the [Abstract Submission] below.
- Please fill in the required information, then submit your abstract. >>Abstract Submission **closed**