"李 佳男,柳澤 渓甫,杉田 昌岳,藤江 拓哉,大上 雅史,秋山 泰","CycPeptMPDB：包括的な環状ペプチド膜透過率データベースの開発","情報処理学会 第143回MPS・第74回BIO合同研究発表会","研究報告バイオ情報学（BIO）","情報処理学会","  2022-BIO-74","  38","  1-8",2023,June
"Jianan Li,Keisuke Yanagisawa,Masatake Sugita,Takuya Fujie,Masahito Ohue,Yutaka Akiyama","CycPeptMPDB: A Comprehensive Database of Membrane Permeability of Cyclic Peptides",,"Journal of Chemical Information and Modeling","American Chemical Society","Volume 62","Issue 18","pp. 4549-4560",2023,Mar.
"Masatake Sugita,Takuya Fujie,Keisuke Yanagisawa,Masahito Ohue,Yutaka Akiyama","Lipid Composition Is Critical for Accurate Membrane Permeability Prediction of Cyclic Peptides by Molecular Dynamics Simulations",,"Journal of Chemical Information and Modeling","American Chemical Society","Volume 62","Issue 18","pp. 4549-4560",2022,Sept.
"能祖雄大,杉田昌岳,藤江拓哉,柳澤渓甫,大上雅史,秋山泰","分子動力学シミュレーション軌跡データからの環状ペプチドの膜透過性と相関が高い特徴量の抽出",,"研究報告バイオ情報学（BIO）","情報処理学会","  2022-BIO-70","  50","  1-8",2022,June
"杉田昌岳,杉山聡,藤江拓哉,吉川寧,柳澤渓甫,大上雅史,秋山泰","分子動力学シミュレーションに基づいた環状ペプチドの膜透過率の大規模予測","第58回日本生物物理学会年会",,,,,,2021,Nov.
"杉田昌岳,杉山聡,藤江拓哉,吉川寧,柳澤渓甫,大上雅史,秋山泰","分子動力学シミュレーションに基づいた環状ペプチドの膜透過率の大規模予測","第58回日本生物物理学会年会",,,,,,2021,Nov.
"杉田昌岳,杉山聡,藤江拓哉,吉川寧,柳澤渓甫,大上雅史,秋山泰","分子動力学シミュレーションに基づいた環状ペプチドの膜透過率の大規模予測","第43回溶液化学シンポジウム",,,,,,2021,Oct.
"Sugita M,Sugiyama S,Takuya Fujie,Yoshikawa Y,Yanagisawa K,Ohue M,Akiyama Y.","Large-scale membrane permeability prediction of cyclic peptides crossing a lipid bilayer based on enhanced sampling molecular dynamics simulations","CBI学会2021年大会",,,,,,2021,Oct.
"Sugita M,Sugiyama S,Takuya Fujie,Yoshikawa Y,Yanagisawa K,Ohue M,Akiyama Y.","Large-scale membrane permeability prediction of cyclic peptides crossing a lipid bilayer based on enhanced sampling molecular dynamics simulations",,"Journal of Chemical Information and Modeling",,"  61","  7","  3681-3695",2021,July
"Takuya Fujie,Masatake Sugita,Satoshi Sugiyama,Yasushi Yoshikawa,Masahito Ohue,Yutaka Akiyama","Conformational Sampling with Molecular Dynamics Simulation for Prediction of Membrane Permeability of Cyclic Peptide","The 5th IITM-Tokyo Tech Joint Symposium-Current trends in Bioinformatics: Big data analysis, machine learning and drug design",,,,,,2020,Mar.