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Masahito Ohue

Masahito Ohue

210 Followers
35 SlideShares 1 Clipboard 210 Followers 108 Followings
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35 SlideShares 1 Clipboard 210 Followers 108 Followings

Personal Information
Organization / Workplace
Kanagawa, Yokohama Japan
Occupation
PhD in computer science. Assistant Professor
Industry
Medical / Health Care / Pharmaceuticals
Website
www.bi.cs.titech.ac.jp/~ohue
Contact Details
Tags
protein-protein interaction jsps research fellow bioinformatics protein-protein docking jsps pd jsps dc 学振 megadock machine learning chemoinformatics dc2 dc1 pd prml computer-aided drug discovery chemogenomics sigbio ismb compound-protein interaction dc virtual screening computational biology protein structure computer science high performance computing metagenome drug discovery neural network graph convolutional network molecular informatics deep learning ppi ipsjone ipsj ipsj-one research 特別研究員 日本学術振興会 career drug-target interaction link mining vote souyakuchan eye virtual screening crowdsourcing hpc azure microsoft 大上 fit2016 ismb2016yomi ismb2016 dockq svm proqdock 学振焼き肉 学振pd 学振dc protein-drug interaction prediction server nature sdock パターン認識と機械学習 pattern recognition proteody protein scaling wave pri flexible docking back-bone refinement pymol kosenconf-014tokyo
See more
Presentations (35)
See all
biokosen
12 years ago • 1661 Views
a world of saxophone quartet
12 years ago • 1710 Views
Kabsch Fit on PyMOL
11 years ago • 1947 Views
統計学の記法,回帰分析と最小二乗法
11 years ago • 1556 Views
FiberDock: Flexible Protein Docking with Normal Mode
11 years ago • 4059 Views
Protein-RNA Interaction Prediction
11 years ago • 1503 Views
タンパク質は音楽を奏でるか?
11 years ago • 2849 Views
PRML Chapter 5
10 years ago • 14965 Views
Protein-Protein Interaction Prediction
10 years ago • 2738 Views
Accurate protein-protein docking with rapid calculation
10 years ago • 2614 Views
W8PRML5.1-5.3
10 years ago • 6334 Views
PRML Chapter 14
10 years ago • 7226 Views
Protein-Protein Interaction Prediction Based on Template-Based and de Novo Docking
9 years ago • 2225 Views
学振特別研究員になるために~知っておくべき10のTips~
8 years ago • 241339 Views
Protein-protein docking-based virtual screening
8 years ago • 2758 Views
PrePPI: structure-based protein-protein interaction prediction
8 years ago • 4262 Views
IIBMP2014 Lightning Talk - MEGADOCK 4.0
8 years ago • 3180 Views
学振特別研究員になるために~知っておくべき10のTips~[平成28年度申請版]
7 years ago • 154216 Views
ISMB/ECCB2015読み会:大上
7 years ago • 4013 Views
学振特別研究員になるために~知っておくべき10のTips~[平成29年度申請版]
6 years ago • 17586 Views
Finding correct protein–protein docking models using ProQDock (ISMB2016読み会, 大上)
6 years ago • 1619 Views
計算で明らかにするタンパク質の出会いとネットワーク(FIT2016 助教が吼えるセッション)
6 years ago • 5563 Views
学振特別研究員になるために~2018年度申請版
5 years ago • 103743 Views
Microsoft Azure上でのタンパク質間相互作用予測システムの並列計算と性能評価
5 years ago • 1838 Views
目バーチャルスクリーニング
5 years ago • 2222 Views
Link Mining for Kernel-based Compound-Protein Interaction Predictions Using a Chemogenomics Approach
5 years ago • 2505 Views
学振特別研究員になるために~2019年度申請版
4 years ago • 123935 Views
出会い系タンパク質を探す旅
4 years ago • 3585 Views
学振特別研究員になるために~2020年度申請版
3 years ago • 96202 Views
Molecular Activity Prediction Using Graph Convolutional Deep Neural Network Considering Distance on a Molecular Graph
3 years ago • 2232 Views
Likes (17)
See all
「全ての確率はコイン投げに通ず」 Japan.R 発表資料
Ken'ichi Matsui • 7 years ago
Julia最新情報 2015
Kenta Sato • 7 years ago
20151205japanr
Med_KU • 7 years ago
20150414seminar
nlab_utokyo • 7 years ago
カップルが一緒にお風呂に入る割合をベイズ推定してみた
hoxo_m • 7 years ago
機械学習チュートリアル@Jubatus Casual Talks
Yuya Unno • 9 years ago
Face Recognition with OpenCV and scikit-learn
Shiqiao Du • 10 years ago
deleted
issei_sato • 8 years ago
正規言語と代数と論理の対応:An Introduction to Eilenberg’s Variety Theorem
Ryoma Sin'ya • 8 years ago
R以外の研究ツール
弘毅 露崎 • 8 years ago
マルチコアを用いた画像処理
Norishige Fukushima • 8 years ago
乱択データ構造の最新事情 -MinHash と HyperLogLog の最近の進歩-
Takuya Akiba • 8 years ago
P04 restricted boltzmann machines cvpr2012 deep learning methods for vision
zukun • 10 years ago
遺伝子検査してみた
Mitsuteru Nakao • 10 years ago
12-11-30 Kashiwa.R #5 初めてのR Rを始める前に知っておきたい10のこと
Haruka Ozaki • 10 years ago
MixSIH: a mixture model for single individual haplotyping
Hirotaka Matsumoto • 10 years ago
rinko2011-agh
Seiya Tokui • 11 years ago
  • Activity
  • About

Presentations (35)
See all
biokosen
12 years ago • 1661 Views
a world of saxophone quartet
12 years ago • 1710 Views
Kabsch Fit on PyMOL
11 years ago • 1947 Views
統計学の記法,回帰分析と最小二乗法
11 years ago • 1556 Views
FiberDock: Flexible Protein Docking with Normal Mode
11 years ago • 4059 Views
Protein-RNA Interaction Prediction
11 years ago • 1503 Views
タンパク質は音楽を奏でるか?
11 years ago • 2849 Views
PRML Chapter 5
10 years ago • 14965 Views
Protein-Protein Interaction Prediction
10 years ago • 2738 Views
Accurate protein-protein docking with rapid calculation
10 years ago • 2614 Views
W8PRML5.1-5.3
10 years ago • 6334 Views
PRML Chapter 14
10 years ago • 7226 Views
Protein-Protein Interaction Prediction Based on Template-Based and de Novo Docking
9 years ago • 2225 Views
学振特別研究員になるために~知っておくべき10のTips~
8 years ago • 241339 Views
Protein-protein docking-based virtual screening
8 years ago • 2758 Views
PrePPI: structure-based protein-protein interaction prediction
8 years ago • 4262 Views
IIBMP2014 Lightning Talk - MEGADOCK 4.0
8 years ago • 3180 Views
学振特別研究員になるために~知っておくべき10のTips~[平成28年度申請版]
7 years ago • 154216 Views
ISMB/ECCB2015読み会:大上
7 years ago • 4013 Views
学振特別研究員になるために~知っておくべき10のTips~[平成29年度申請版]
6 years ago • 17586 Views
Finding correct protein–protein docking models using ProQDock (ISMB2016読み会, 大上)
6 years ago • 1619 Views
計算で明らかにするタンパク質の出会いとネットワーク(FIT2016 助教が吼えるセッション)
6 years ago • 5563 Views
学振特別研究員になるために~2018年度申請版
5 years ago • 103743 Views
Microsoft Azure上でのタンパク質間相互作用予測システムの並列計算と性能評価
5 years ago • 1838 Views
目バーチャルスクリーニング
5 years ago • 2222 Views
Link Mining for Kernel-based Compound-Protein Interaction Predictions Using a Chemogenomics Approach
5 years ago • 2505 Views
学振特別研究員になるために~2019年度申請版
4 years ago • 123935 Views
出会い系タンパク質を探す旅
4 years ago • 3585 Views
学振特別研究員になるために~2020年度申請版
3 years ago • 96202 Views
Molecular Activity Prediction Using Graph Convolutional Deep Neural Network Considering Distance on a Molecular Graph
3 years ago • 2232 Views
Likes (17)
See all
「全ての確率はコイン投げに通ず」 Japan.R 発表資料
Ken'ichi Matsui • 7 years ago
Julia最新情報 2015
Kenta Sato • 7 years ago
20151205japanr
Med_KU • 7 years ago
20150414seminar
nlab_utokyo • 7 years ago
カップルが一緒にお風呂に入る割合をベイズ推定してみた
hoxo_m • 7 years ago
機械学習チュートリアル@Jubatus Casual Talks
Yuya Unno • 9 years ago
Face Recognition with OpenCV and scikit-learn
Shiqiao Du • 10 years ago
deleted
issei_sato • 8 years ago
正規言語と代数と論理の対応:An Introduction to Eilenberg’s Variety Theorem
Ryoma Sin'ya • 8 years ago
R以外の研究ツール
弘毅 露崎 • 8 years ago
マルチコアを用いた画像処理
Norishige Fukushima • 8 years ago
乱択データ構造の最新事情 -MinHash と HyperLogLog の最近の進歩-
Takuya Akiba • 8 years ago
P04 restricted boltzmann machines cvpr2012 deep learning methods for vision
zukun • 10 years ago
遺伝子検査してみた
Mitsuteru Nakao • 10 years ago
12-11-30 Kashiwa.R #5 初めてのR Rを始める前に知っておきたい10のこと
Haruka Ozaki • 10 years ago
MixSIH: a mixture model for single individual haplotyping
Hirotaka Matsumoto • 10 years ago
rinko2011-agh
Seiya Tokui • 11 years ago
Personal Information
Organization / Workplace
Kanagawa, Yokohama Japan
Occupation
PhD in computer science. Assistant Professor
Industry
Medical / Health Care / Pharmaceuticals
Website
www.bi.cs.titech.ac.jp/~ohue
Contact Details
Tags
protein-protein interaction jsps research fellow bioinformatics protein-protein docking jsps pd jsps dc 学振 megadock machine learning chemoinformatics dc2 dc1 pd prml computer-aided drug discovery chemogenomics sigbio ismb compound-protein interaction dc virtual screening computational biology protein structure computer science high performance computing metagenome drug discovery neural network graph convolutional network molecular informatics deep learning ppi ipsjone ipsj ipsj-one research 特別研究員 日本学術振興会 career drug-target interaction link mining vote souyakuchan eye virtual screening crowdsourcing hpc azure microsoft 大上 fit2016 ismb2016yomi ismb2016 dockq svm proqdock 学振焼き肉 学振pd 学振dc protein-drug interaction prediction server nature sdock パターン認識と機械学習 pattern recognition proteody protein scaling wave pri flexible docking back-bone refinement pymol kosenconf-014tokyo
See more

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