Home Research Services Publications People Teaching Job Opening News Forum Lab Only
Online Services

I-TASSER QUARK LOMETS COACH COFACTOR MetaGO MUSTER SEGMER FG-MD ModRefiner REMO SPRING COTH BSpred SVMSEQ ANGLOR BSP-SLIM SAXSTER ThreaDom ThreaDomEx EvoDesign GPCR-I-TASSER BindProf BindProfX ResQ IonCom STRUM

TM-score TM-align MM-align NW-align LS-align EDTSurf MVP MVP-Fit SPICKER HAAD PSSpred 3DRobot I-TASSER-MR NeBcon WDL-RF ATPbind

BioLiP E. coli GLASS GPCR-HGmod GPCR-RD GPCR-EXP TM-fold DECOYS POTENTIAL RW HPSF CASP7 CASP8 CASP9 CASP10 CASP11 CASP12

SED:  Screening for Lasso of ECFPs and Deep Neural Nets

SED was developed to predict ligand bioactivities and to recognize key substructures associated with GPCRs through the coupling of screening for Lasso of long extended-connectivity fingerprints (ECFPs) with deep neural network training.

  • Download SED program: SED.tar.gz.
  • Download SED document: README.txt.

  • Reference:
  • Jiansheng Wu, Ben Liu, Wallace K.B. Chan, Weijar Wu, Tao Pang, Haifeng Hu, Shancheng Yan, Xiaoyan Ke, Yang Zhang (2018) Precise Modelling and Interpretation of Bioactivities of Ligands Targeting G Protein-coupled Receptors.
  • yangzhanglabumich.edu | (734) 647-1549 | 100 Washtenaw Avenue, Ann Arbor, MI 48109-2218