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秋山研究室
Showing the original Japanese · View translation
スーパーコンピュータで生命の大量データを解き、創薬を速める研究室。

AboutAbout the lab
最先端の計算技術で、創薬を加速する。
秋山研究室は、
ヒトの
解析も
創薬では、
Key terms
- バイオインフォマティクス
- 生物や
医学の 大量の データを、 計算機と 情報の 手法で 読み解く 分野 - 分
子動力学シミュレーション - 原子どうしには
たらく 力を 計算して、 分子が 時間とともに どう 動くかを 追う 手法 - ドッキングシミュレーション
- 薬の
候補と なる 分子が、 たんぱく 質の どこに どう 結びつくかを 計算で 予測する こと
NewsLab news
学生が、
情報処理学会 バイオ情報学研究会の 優秀プレゼンテーション賞を 受賞 学生が、
情報処理学会 バイオ情報学研究会の 優秀プレゼンテーション賞を 受賞 学生が、
CBI学会の Like! Poster Award を 受賞 学生が、
情報処理学会 バイオ情報学研究会の 優秀プレゼンテーション賞を 受賞
ResearchResearch themes
ヒトの
*Illustrative imageバイオインフォマティクス
医学・薬学・生物学の
*Illustrative image創薬支援計算
創薬を
*Illustrative image高性能計算
スーパーコンピュータや
*Illustrative image機械学習の応用
機械学習や
MembersFaculty
秋山研究室の
- Professor秋山 泰Publications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Protein filament” Opabinia Regalis / CC BY-SA 3.0 (cropped)
- バイオインフォマティクス: “3d tRNA” Vossman / CC BY-SA 3.0 (cropped)
- 創薬支援計算: “Aripiprazole bound to Dopamine D2 Receptor docking model” EpsilonVisuals / CC BY-SA 4.0 (cropped)
- 高性能計算: “Amalka Supercomputing facility” Davidpodhola / CC BY-SA 3.0 (cropped)
- 機械学習の
応用: “Cyclic peptide ipglycermide” National Center for Advancing Translational Sciences from Bethesda, MD / Public domain (cropped) - Related lab (大上研究室): “Protein Crystal Structure of the human Sec23a-24a heterodimer, complexed with the SNARE protein Sec22b PDB 2nup” Emw / CC BY-SA 3.0 (cropped)
- Related lab (関嶋研究室): “Bedaquiline 3D” Jovan.gec / CC BY-SA 4.0 (cropped)
- Related lab (石田研究室): “4xhe pinnatoxin pentamer” Opabinia regalis / CC BY-SA 4.0 (cropped)
- Related lab (齋藤研究室): “Utah teapot surreal” Dhatfield / CC BY-SA 3.0 (cropped)
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