Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
コンペティションから見るAI創薬/AI drug discovery in the view ...
Search
m_mochizuki
March 18, 2019
Research
2
1.6k
コンペティションから見るAI創薬/AI drug discovery in the view of competitions
日本オミックス医学会シンポジウム 発表資料
場所: 東京医科歯科大学
日付: 2019/3/18
2018/3/20 誤記修正
2018/3/21 誤記修正
m_mochizuki
March 18, 2019
Tweet
Share
More Decks by m_mochizuki
See All by m_mochizuki
SIGNATE: 日本取引所グループ ファンダメンタルズ分析チャレンジ 1位解法 / the 1st place solution of JPX Fundamentals Analysis Challenge on SIGNATE
m_mochizuki
4
13k
SIGNATE: 日本取引所グループ ファンダメンタルズ分析チャレンジ 暫定1位解法 / the provisional 1st place solution of JPX Fundamentals Analysis Challenge on SIGNATE
m_mochizuki
3
9.6k
MD-DSC研究会講演資料:『機械学習コンペティションの実際とその意義』/ Practice on ML competition and its significance
m_mochizuki
1
1.2k
Other Decks in Research
See All in Research
SREのためのテレメトリー技術の探究 / Telemetry for SRE
yuukit
13
2.8k
大規模言語モデルにおけるData-Centric AIと合成データの活用 / Data-Centric AI and Synthetic Data in Large Language Models
tsurubee
1
470
Community Driveプロジェクト(CDPJ)の中間報告
smartfukushilab1
0
120
When Learned Data Structures Meet Computer Vision
matsui_528
1
2.1k
Open Gateway 5GC利用への期待と不安
stellarcraft
2
170
世界の人気アプリ100個を分析して見えたペイウォール設計の心得
akihiro_kokubo
PRO
65
35k
Self-Hosted WebAssembly Runtime for Runtime-Neutral Checkpoint/Restore in Edge–Cloud Continuum
chikuwait
0
280
財務諸表監査のための逐次検定
masakat0
0
230
Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation
satai
3
560
Sat2City:3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion
satai
4
490
離散凸解析に基づく予測付き離散最適化手法 (IBIS '25)
taihei_oki
PRO
1
650
説明可能な機械学習と数理最適化
kelicht
2
810
Featured
See All Featured
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.6k
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
1
220
Designing Powerful Visuals for Engaging Learning
tmiket
0
200
Bootstrapping a Software Product
garrettdimon
PRO
307
120k
Site-Speed That Sticks
csswizardry
13
1k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
35
2.3k
SERP Conf. Vienna - Web Accessibility: Optimizing for Inclusivity and SEO
sarafernandez
1
1.3k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
世界の人気アプリ100個を分析して見えたペイウォール設計の心得
akihiro_kokubo
PRO
65
35k
Tell your own story through comics
letsgokoyo
0
780
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
48
9.8k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
5.8k
Transcript
a I ( M A M89 :) 3 /21 1
/ 0/ ) ) A c
s ( 21 1- 40 z ( u 76 6
7 ) ) h o 7M M AI( : 7 r a ( k c 7 i
3 IS o J P 123 32 0 J P
T 0 J P T 0 J P T 6 n 0 J P T 4 DJ PG C A 7E5 D4J A C C eB E5
P GI gGI M ci 06?5:
0 65A 4? 5 B C 84 6 76 .?4 8 11ae h M ci 2 3 gM N M ci g T M
6 AI= +.9<*!%;7BG =?4D +.1:/"(&#*
5C0 A, "(&$ = %&' )6F5C=? >@8E3 -23
<; .%7 FC*
'4 <;p53L. + '&(AE!1IBM) DK5=(FC*'40 BH1G .%7D/:36I (-"8$) .%7>@1G JD ↑ # 2?, )9
1
1 0 0 n RAK ) S2 AK K n
g 1 0 Ra Ra 0 5 Q e ( 425 %10/7& (! * , 10/(! $%)+.# # " 425 'Kaggle(063(-
1 n eh a kGn f R / :/ V
Fod eh aFH lm g Sb RHMS A n V . :/ i eh a cS A p 2 / /: / ./: :.
M ,1 42 , 2 , 0 0 9 22
3. n ? n : AC
None
4 1 #)$ ' !%( * $
(Convolutional Neural Network) $ %" & &
1 $)& (" Fingerprint/Descriptor % & (Graph
Convolutional Neural Network) & ! # ' '
n 1 G 6 C n N : Altae-Tran et
al, ACS Cent. Sci.,2017,3(4), pp 283–293
n ( ) P O N B A n I
24 0 2 1 1 Virtual screening… 1 2 3
n N G n K C 967 ( #
&).0 *! "%*@ =1;=>* *(400) 4?:<A5).0 “”* */$, 862?3' +(-OK
7 8 T d fng ] N mi a M
hmi ] C [ Ct ep r a 21 . ? 0 ?9 5 ( ) ) ( )( 02 s y , 9 T u CG ] NaY I
( 7 2 Extended Connectivity Fingerprint Functional Connectivity Fingerprint Topological
Torsions Atom Pairs Fingerprint RDKit Fingerprint Avalon fingerprint !fingerprint (6) 70 Random Forest Extremely Randomized Trees Gradient Boosted Trees Multilayer perceptron Support Vector Regression ! $)%(&' (5) 65 = 30# Elastic Net Pfinal Level 0 Level 1 " # 1 2 ) ):
Fingerprint ECFP FCFP TT AP RDK AVLN F-Stacking RF
0.848 0.855 0.816 0.686 0.652 0.722 0.892 ERT 0.869 0.889 0.844 0.798 0.671 0.768 0.907 GBT 0.852 0.864 0.835 0.808 0.733 0.758 0.891 MLP 0.802 0.777 0.623 0.814 0.651 0.712 0.895 SVR 0.856 0.852 0.688 0.763 0.662 0.693 0.877 L-Stacking 0.890 0.911 0.870 0.881 0.799 0.846 0.930 FL-Stacking Level0 ROC-AUC ) 1 ) (0( 72 n 0 3 0 0
2 ( 7 )1)0 3 5
IMSBIO () ( ) 1 8 1 Univ-shizuoka 1 PFDrug ()Preferred Networks 1 kiharalab 1 1 Graph CNN
1 0
38 5 120 n 0 u ”Taklbe : () :.
00 1Tcn n s T n p w Th cn dg I I “ L ing n r P v T ng D n T t p o y 2 8: : .2 1 2 - // /: 0:
)0 3 6 ( 2 1 n Lel an f
LN b i - b i -/) - n U N gc d - s n D - b i ( 1) -1- P t ( 1) ) vo el an (
)0 37 ( 2 1 n 24 9: 9 0
4 n 1 9 9 56 8 2 3 W 2 9 4 O O O !!!
9 21 n e l ( g n K n
) a )
20 2 3 n 3 t 1 o r ru
2 a i 1 o ru ) 2 l1 ru 1es 2 1 r f K2 n (( h g g K2
1 3 n ( ) ) n : )
X 8 T 9 8. A T 9 8. A
T 9 8. A 0 3 T . 9? A 5 2
( • 9) : / 51) 5 • 1 55
5 2 1:023/ 5