iqspr-package |
iqspr |
ENgram |
Extended N-gram model for leraning SMILES strings |
ENgram-class |
Extended N-gram model for leraning SMILES strings |
engram_5k |
ENgram object trained with 5000 SMILES strings |
Esmi |
Extend smi class |
Esmi-class |
Extend smi class |
genENgram |
generate SMILES strings from extended N-gram model |
get_hiscores |
get chemical structures with high QSPR score from SmcChem object |
get_score |
get QSPR scores for structures in the SmcChem object |
get_smiles |
get SMILES strings from the SmcChem object |
iqspr |
iqspr |
predict |
predict properties with forward QSPR model |
qspr.data |
sample dataset for QSPR modeling |
QSPRpred |
QSPRpredictor class |
QSPRpred-class |
QSPRpredictor class |
qsprpred_EG_5k |
QSPRpred object trained with 5000 SMILES strings and properties (Internal energy and HOMO-LUMO gap) dataset |
SmcChem |
SMC chemical generator class |
SmcChem-class |
SMC chemical generator class |
smcexec |
modify chemical structures with SMC |
trainedSMI |
sample dataset for learning with Extended N-gram model |
viewstr |
view 2D structures from SMILES string vector |