Table 4.
Program | Reference | Analytical method | CoBaltDB features prediction group(s) | |||
---|---|---|---|---|---|---|
LipPred | [133] | Naive Bayesian Network | LIPO | |||
PRED-LIPO | [58] | HMM | LIPO | (only Monoderm) | ||
SPEPLip | [134] | NN | LIPO | SEC | ||
SecretomeP | [135] | Pattern & NN | ΔSEC_SP | |||
Signal-3L | [136] | Multi-modules | SEC | |||
Signal-CF | [137] | Multi-modules | SEC | |||
Signal-Blast | [138] | BlastP | SEC | |||
Sigcleave | EMBOSS | Von Heijne method | SEC | |||
PRED-SIGNAL | [129] | HMM | SEC | (only Archae) | ||
Flafind | [139] | AA features | T3SS Archae + T4SS Bacteria | |||
T3SS_prediction | [110] | SVM & NN | T3SS | |||
EffectiveT3 | [111] | Machine learning | T3SS | |||
NtraC Signal Analysis | [140] | Pattern model | SEC (long SP) | |||
Philius | [141] | HMM | SEC | αTMB | ||
(SP)OCTOPUS | [142,143] | Blast Homology, NN, HMM | SEC | αTMB | ||
MemBrain | [144] | Machine learning | SEC | αTMB | ||
DAS | [145] | Dense Alignment Surface | αTMB | |||
HMM-TM | [146] | HMM | αTMB | |||
SVMtop Server 1.0 | [147] | SVM | αTMB | |||
UMDHMM_TMHP | [148] | HMM | αTMB | |||
waveTM | [149] | Hydropathy signals algorithm | αTMB | |||
PRED-TMR | [150] | AA features | αTMB | |||
TMAP | [67] | AA features | αTMB | |||
igTM | [151] | Grammatical Inference | αTMB | |||
TOPCONS | [152] | Tools Consensus | αTMB | |||
TUPS | [153] | Tools Consensus | αTMB | |||
ConPred II | [154] | Tools Consensus | αTMB | |||
MEMSAT3 | [66,155] | NN | αTMB | |||
SABLE | [156] | NN | αTMB | |||
TM-Pro | [64,157] | AA features | αTMB | |||
ProspRef | _ | Knowledge-based method | αTMB | |||
PSIPRED | [158,159] | NN, PSSM | αTMB | |||
NPS@ | [160] | Tools Consensus | αTMB | |||
SAM-T08 | [161] | HMM | αTMB | |||
PORTER | [162] | NN | αTMB | |||
TMPred | EMBnet | Weight-matrices | αTMB | |||
TMMOD | [163] | HMM | αTMB | |||
TopPred II | [61] | G. von Heijne algorithm | αTMB | |||
YASPIN | [164] | Hidden Neural Network | αTMB | |||
MemType-2L | [165] | PseudoPSSM, classifier | Membrane Type | |||
BOMP | [84] | AA features | βBarrel | |||
TMBETADISC-RBF | [87] | RBF network, PSSM | βBarrel | |||
TMBETA-NET | [117] | AA features | βBarrel | |||
PRED-TMBB | [85] | HMM | βBarrel | |||
ConBBPred | [76] | Tools Consensus | βBarrel | |||
CW-PRED (submit) | [126] | HMM | Cell-Wall (only Monoderm) | |||
ProtCompB | SoftBerry | Multi-methods | Localization | |||
CELLO | [166] | SVM | Localization | |||
PSL101 | [167] | SVM, structure homology | Localization | |||
PSLpred | [168] | SVM | Localization | |||
GPLoc-neg | [169] | Basic classifier | Localization | (only Diderm) | ||
GPLoc-pos | [170] | Basic classifier | Localization | (only Monoderm) | ||
LOCtree | [171] | SVM | Localization | |||
PSORTb | [91] | Multi-modules | Localization | |||
SLPS | [172] | Nearest Neighbor on domain | Localization | |||
Couple-subloc v1.0 | Jian Guo | AA features | Localization | |||
TBPRED | [173] | SVM | Localization | (only Mycobacterium) |
HMM: Hidden Markov Model, NN: Neural Network, AA: Amino Acid, SVM: Support Vector Machine, PSSM: Position Specific Scoring Matrix, T3SS: Type III Secretion System, RBF: Radial Basis Function