A comparative study of SMILES-based compound similarity functions for drug-target interaction prediction
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A review of parameters and heuristics for guiding metabolic pathfindingSimBoost: a read-across approach for predicting drug-target binding affinities using gradient boosting machines.A novel methodology on distributed representations of proteins using their interacting ligands.A genome-scale metabolic network alignment method within a hypergraph-based framework using a rotational tensor-vector productDeepDTA: deep drug-target binding affinity prediction
P2860
A comparative study of SMILES-based compound similarity functions for drug-target interaction prediction
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
A comparative study of SMILES- ...... -target interaction prediction
@ast
A comparative study of SMILES- ...... -target interaction prediction
@en
type
label
A comparative study of SMILES- ...... -target interaction prediction
@ast
A comparative study of SMILES- ...... -target interaction prediction
@en
prefLabel
A comparative study of SMILES- ...... -target interaction prediction
@ast
A comparative study of SMILES- ...... -target interaction prediction
@en
P2093
P2860
P1433
P1476
A comparative study of SMILES- ...... -target interaction prediction
@en
P2093
Arzucan Özgür
Elif Ozkirimli
Hakime Öztürk
P2860
P2888
P356
10.1186/S12859-016-0977-X
P577
2016-03-18T00:00:00Z
P6179
1011715386