Computational learning on specificity-determining residue-nucleotide interactions
about
Recent Progress in Machine Learning-Based Methods for Protein Fold RecognitionRPI-Bind: a structure-based method for accurate identification of RNA-protein binding sites.Predicting protein-binding regions in RNA using nucleotide profiles and compositions.A Novel Approach to Predict Core Residues on Cancer-Related DNA-Binding Domains.Sequence2Vec: A novel embedding approach for modeling transcription factor binding affinity landscape.Identification of DNA-protein Binding Sites through Multi-Scale Local Average Blocks on Sequence Information.DNA Motif Recognition Modeling from Protein Sequences
P2860
Q28066913-DB2C85AE-EA71-4B00-840B-A1DD3A8675CEQ33677541-EBB7E35D-CFB1-4E64-85DD-CBE2842C17DFQ36329367-D36F42E5-6245-422F-B560-CAD69E69CF7DQ39697719-BB88B3BF-1381-4B82-87B9-F00B2C92429AQ42696829-6A7E50C9-B00A-4C98-BDFE-50290DA4E0B0Q47306733-7A0EF178-194B-4F6F-A11F-9BA5F2977A4EQ58753645-4FFDC3C3-91EE-43E7-8551-44581E433630
P2860
Computational learning on specificity-determining residue-nucleotide interactions
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Computational learning on specificity-determining residue-nucleotide interactions
@en
type
label
Computational learning on specificity-determining residue-nucleotide interactions
@en
prefLabel
Computational learning on specificity-determining residue-nucleotide interactions
@en
P2093
P2860
P356
P1476
Computational learning on specificity-determining residue-nucleotide interactions
@en
P2093
Alan M Moses
Chengbin Peng
Ka-Chun Wong
Zhaolei Zhang
P2860
P304
10180-10189
P356
10.1093/NAR/GKV1134
P577
2015-11-02T00:00:00Z