Peptide record

TPDB13260

Antibacterial Toxicity standard
20 amino acids
Basic Information
3D PDB MODEL
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TPDB13260
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
QAAKKMSNKEKAAKRWIAMR
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.

C101H176N34O26S2
DCGHLFPTYV
AK
2346.84
11.68
7
1
9
+6
2.95
-1.170
44.50
Mammalian: 0.8 hour Yeast: 10 min E.coli: >10 hour
5500
2.34
3
Residue Composition
number
5
A
2
R
1
N
0
D
0
C
1
E
1
Q
0
G
0
H
1
I
0
L
5
K
2
M
0
F
0
P
1
S
0
T
1
W
0
Y
0
V
Amino Acid Distribution
A: 5 R: 2 N: 1 D: 0 C: 0 E: 1 Q: 1 G: 0 H: 0 I: 1 L: 0 K: 5 M: 2 F: 0 P: 0 S: 1 T: 0 W: 1 Y: 0 V: 0
Chemical Descriptors
20 reviewed residue count
C101H176N34O26S2 sequence-only estimate (linear, free termini)
2346.84 sequence-only estimate (linear, free termini)
11.68 sequence-only estimate (linear, free termini)
+6 sequence-only estimate (linear, free termini)
2.95 sequence-only estimate (linear, free termini)
-1.170 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