大学のHPでChemTSv2に関する記事を公開しました. 薬から材料まで様々な機能性分子を設計可能なAIを開発 | YCU 横浜市立大学 yokohama-cu.ac.jp/news/2023/2023…

非天然アミノ酸を含む抗菌ペプチドを効率的に設計するAI (MODAN)に関する記事を大学のHPで公開しました. 国衛研の出水先生との共同研究です. 論文と実装(公開)はこちらから: doi.org/10.1039/D3DD00… yokohama-cu.ac.jp/news/2023/2023…

Our new paper, "Deep Learning-Based Differential Diagnosis of Follicular Thyroid Tumors Using Histopathological Images," has been published in Modern Pathology ! Congrats Kadoi-san! sciencedirect.com/science/articl…

大学院生の門井さん(M1)が共同筆頭著者の論文がModern Pathology誌に掲載されました。深層学習を用いて組織診画像から濾胞性甲状腺腫瘍の鑑別を行う研究です。 yokohama-cu.ac.jp/news/2023/2023…

Terayama et al. present MODAN, a machine learning-assisted AMP design framework based on multi-objective Bayesian optimisation, in today's featured article: doi.org/10.1039/D3DD00… #openaccess

Our new functional KTLC automatically estimates the optimal parameter for each molecule, enabling more accurate estimation of photofunctional properties. JCIM & JCTC Journals NyanGorou Toru Matsui Koji Tsuda #compchem pubs.acs.org/doi/10.1021/ac…

Check out the latest tutorial by S.I. on ChemTSv2, an open-source AI-based tool for designing functional molecules with desired properties. Read more here: portal.valencelabs.com/blogs/post/int…

Our new paper, "An efficient segmentation method based on semi-supervised learning for seafloor monitoring in Pujada Bay, Philippines", has been published in Ecological Informatics! sciencedirect.com/science/articl…

new: "AI-driven molecular generation of not-patented pharmaceutical compounds using world open patent data" jcheminf.biomedcentral.com/articles/10.11…

大学院生の吉澤さん(M2)が、第51回構造活性相関シンポジウムにて口頭発表賞(SAR Presentation Award)を受賞しました! 予測信頼度を考慮した分子生成AIの研究になります。吉澤さんは、2年連続の構造活性シンポジウム口頭発表賞受賞です。 yokohama-cu.ac.jp/news/2023/2024…

Our new LLPS database, RNAPSEC, contains information on condensate formation of protein and RNA under various environmental conditions such as pH and temperature - now published in #BMCBioinformatics. Congrats Chin-san! rdcu.be/dDAMv

大学院生の陳さん(D2)の論文が出版されました! 生体内の液-液相分離(LLPS)に関する新たなデータベースRNAPSECの構築と実験条件等を加味した予測モデル構築を行いました. 論文はこちらから: doi.org/10.1186/s12859… yokohama-cu.ac.jp/news/2024/2024…

We are pleased to present our new paper. Human DPPA3 regulates UHRF1 function in a manner distinct from mouse DPPA3. Please visit the website. nature.com/articles/s4200…

Our new paper is out on benthic analysis methods using deep learning! Combining 3D acoustic coring and a convolutional neural network to quantify species contributions to benthic ecosystems | royalsocietypublishing.org/doi/10.1098/rs…

**NEW PAPER** Seeing #bioturbation in 3 dimensions - we combine 3D acoustics with a convolutional neural network to quantify species contributions to benthic ecosystems. Office of Naval Research (ONR). Open access here: doi.org/10.1098/rsos.2…

JSTの創発的研究支援事業(後藤パネル)に採択していただきました. 分子生成AIのさらなる高度化を目指します. yokohama-cu.ac.jp/res-portal/new…

Our paper on AIPHAD, an efficient system for constructing phase diagrams using active learning that runs on a web browser, is now live in Communications Materials! Check it out! rdcu.be/dPDwj

Our new paper, "Target Material Property-Dependent Cluster Analysis of Inorganic Compounds," has been published in Advanced Intelligent Systems! Advanced Intelligent Systems Congratulations to Sato-san & Takahashi-san! onlinelibrary.wiley.com/doi/10.1002/ai…