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Peptide record

TPDB13223

Antibacterial Toxicity standard
20 amino acids
Basic Information
3D PDB MODEL
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TPDB13223
Antibacterial Toxicity
Anti-infective peptides Toxicity and safety peptides
AntiBP3 Peptipedia
standard
No
A 20-aa standard-residue multi-activity (Antibacterial and Toxicity) peptide sequence curated from AntiBP3 and Peptipedia, with an available 3D structural model.
Sequence
SFLGEWLFVTRKAKRKHKHA
Physicochemical Analysis

Sequence-only estimates for a linear peptide with free termini, not experimentally measured molecular properties. Mass and formula exclude cyclization and disulfide formation. The optical estimates assume paired cysteines, 280 nm, 1 g/L and a 1 cm path. The N-end rule estimate is not a measured plasma half-life.

C114H179N35O25
NDCQIMPY
K
2439.89
11.63
8
1
8
+5
2.37
-0.815
63.50
Mammalian: 1.9 hour Yeast: >20 hour E.coli: >10 hour
5500
2.25
2
Residue Composition
number
2
A
2
R
0
N
0
D
0
C
1
E
0
Q
1
G
2
H
0
I
2
L
4
K
0
M
2
F
0
P
1
S
1
T
1
W
0
Y
1
V
Amino Acid Distribution
A: 2 R: 2 N: 0 D: 0 C: 0 E: 1 Q: 0 G: 1 H: 2 I: 0 L: 2 K: 4 M: 0 F: 2 P: 0 S: 1 T: 1 W: 1 Y: 0 V: 1
Chemical Descriptors
20 reviewed residue count
C114H179N35O25 sequence-only estimate (linear, free termini)
2439.89 sequence-only estimate (linear, free termini)
11.63 sequence-only estimate (linear, free termini)
+5 sequence-only estimate (linear, free termini)
2.37 sequence-only estimate (linear, free termini)
-0.815 sequence-only estimate (linear, free termini)
Evidence Records 2 records
Evidence 1 Activity

Activity

0% Hemolysis
Toxicity
128 µM
Hemolytic Cytotoxic
0% Hemolysis | 128 | µM | target cell: Sheep erythrocytes

Target

Sheep erythrocytes

Source & Reference

NA
DBAASP
Novel Antimicrobial Peptide Discovery Using Machine Learning and Biophysical Selection of Minimal Bacteriocin Domains. | Drug Dev Res | 2020
Evidence 2 Activity

Activity

0% Cytotoxicity
Toxicity
128 µM
Cytotoxic
0% Cytotoxicity | 128 | µM | target cell: Human keratinocytes HaCat

Target

Human keratinocytes HaCat

Source & Reference

NA
DBAASP
Novel Antimicrobial Peptide Discovery Using Machine Learning and Biophysical Selection of Minimal Bacteriocin Domains. | Drug Dev Res | 2020