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  1. Article

    Open Access

    Predicting condensate formation of protein and RNA under various environmental conditions

    Liquid–liquid phase separation (LLPS) by biomolecules plays a central role in various biological phenomena and has garnered significant attention. The behavior of LLPS is strongly influenced by the characteris...

    Ka Yin Chin, Shoichi Ishida, Yukio Sasaki, Kei Terayama in BMC Bioinformatics (2024)

  2. Article

    Open Access

    AI-driven molecular generation of not-patented pharmaceutical compounds using world open patent data

    Develo** compounds with novel structures is important for the production of new drugs. From an intellectual perspective, confirming the patent status of newly developed compounds is essential, particularly f...

    Yugo Shimizu, Masateru Ohta, Shoichi Ishida, Kei Terayama in Journal of Cheminformatics (2023)

  3. Article

    Open Access

    Correction to: Semi-automation of gesture annotation by machine learning and human collaboration

    Naoto Ienaga, Alice Cravotta, Kei Terayama in Language Resources and Evaluation (2022)

  4. Article

    Open Access

    Semi-automation of gesture annotation by machine learning and human collaboration

    Gesture and multimodal communication researchers typically annotate video data manually, even though this can be a very time-consuming task. In the present work, a method to detect gestures is proposed as a fu...

    Naoto Ienaga, Alice Cravotta, Kei Terayama in Language Resources and Evaluation (2022)

  5. No Access

    Article

    Visualization of judgment regions in convolutional neural networks for X-ray diffraction and scattering images of aliphatic polyesters

    The construction of a deep learning model and visualization of judgment regions were conducted for X-ray diffraction and scattering images of aliphatic polyesters. Due to recent progress in measurement methods...

    Yoshifumi Amamoto, Hiroteru Kikutake, Ken Kojio, Atsushi Takahara in Polymer Journal (2021)

  6. Article

    Extraction of protein dynamics information from cryo-EM maps using deep learning

    Elucidation of both the three-dimensional structure and the dynamics of a protein is essential to understand its function. Technical breakthroughs in single-particle analysis based on cryo-electron microscopy ...

    Shigeyuki Matsumoto, Shoichi Ishida, Mitsugu Araki in Nature Machine Intelligence (2021)

  7. Article

    Open Access

    Vision-based egg quality prediction in Pacific bluefin tuna (Thunnus orientalis) by deep neural network

    Closed-cycle aquaculture using hatchery produced seed stocks is vital to the sustainability of endangered species such as Pacific bluefin tuna (Thunnus orientalis) because this aquaculture system does not depend ...

    Naoto Ienaga, Kentaro Higuchi, Toshinori Takashi, Koichiro Gen in Scientific Reports (2021)

  8. Article

    Open Access

    CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration

    In computer-assisted synthesis planning (CASP) programs, providing as many chemical synthetic routes as possible is essential for considering optimal and alternative routes in a chemical reaction network. As t...

    Ryosuke Shibukawa, Shoichi Ishida, Kazuki Yoshizoe in Journal of Cheminformatics (2020)

  9. Article

    Open Access

    An efficient coral survey method based on a large-scale 3-D structure model obtained by Speedy Sea Scanner and U-Net segmentation

    Over the last 3 decades, a large portion of coral cover has been lost around the globe. This significant decline necessitates a rapid assessment of coral reef health to enable more effective management. In thi...

    Katsunori Mizuno, Kei Terayama, Seiichiro Hagino, Shigeru Tabeta in Scientific Reports (2020)

  10. Article

    Open Access

    Deep-learning-based quality filtering of mechanically exfoliated 2D crystals

    Two-dimensional (2D) crystals are attracting growing interest in various research fields such as engineering, physics, chemistry, pharmacy, and biology owing to their low dimensionality and dramatic change of ...

    Yu Saito, Kento Shin, Kei Terayama, Shaan Desai, Masaru Onga in npj Computational Materials (2019)

  11. Article

    Open Access

    Fine-grained optimization method for crystal structure prediction

    Crystal structure prediction based on first-principles calculations is often achieved by applying relaxation to randomly generated initial structures. Relaxing a structure requires multiple optimization steps....

    Kei Terayama, Tomoki Yamashita, Tamio Oguchi, Koji Tsuda in npj Computational Materials (2018)

  12. Article

    Open Access

    Multiple fish tracking with an NACA airfoil model for collective behavior analysis

    We propose a visual tracking method with an NACA airfoil model for dense fish schools in which occlusions occur frequently. Although much progress has been made for tracking multiple objects, it remains a chal...

    Kei Terayama, Hitoshi Habe in IPSJ Transactions on Computer Vision and A… (2016)