Structure

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Physi-Chem Properties

Molecular Weight:  586.15
Volume:  545.774
LogP:  1.838
LogD:  3.304
LogS:  -3.083
# Rotatable Bonds:  5
TPSA:  145.23
# H-Bond Aceptor:  10
# H-Bond Donor:  4
# Rings:  5
# Heavy Atoms:  13

MedChem Properties

QED Drug-Likeness Score:  0.352
Synthetic Accessibility Score:  6.746
Fsp3:  0.423
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.529
MDCK Permeability:  1.2018550478387624e-05
Pgp-inhibitor:  0.001
Pgp-substrate:  0.973
Human Intestinal Absorption (HIA):  0.028
20% Bioavailability (F20%):  0.004
30% Bioavailability (F30%):  0.014

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.227
Plasma Protein Binding (PPB):  91.2652359008789%
Volume Distribution (VD):  2.615
Pgp-substrate:  8.1427640914917%

ADMET: Metabolism

CYP1A2-inhibitor:  0.091
CYP1A2-substrate:  0.108
CYP2C19-inhibitor:  0.241
CYP2C19-substrate:  0.192
CYP2C9-inhibitor:  0.319
CYP2C9-substrate:  0.314
CYP2D6-inhibitor:  0.005
CYP2D6-substrate:  0.137
CYP3A4-inhibitor:  0.218
CYP3A4-substrate:  0.801

ADMET: Excretion

Clearance (CL):  2.189
Half-life (T1/2):  0.318

ADMET: Toxicity

hERG Blockers:  0.169
Human Hepatotoxicity (H-HT):  0.998
Drug-inuced Liver Injury (DILI):  0.984
AMES Toxicity:  0.015
Rat Oral Acute Toxicity:  0.115
Maximum Recommended Daily Dose:  0.975
Skin Sensitization:  0.114
Carcinogencity:  0.081
Eye Corrosion:  0.003
Eye Irritation:  0.005
Respiratory Toxicity:  0.955

Download Data

Data Type Select
General Info & Identifiers & Properties  
Structure MOL file  
Source Organisms  
Biological Activities  
Similar NPs/Drugs  

  Natural Product: NPC24990

Natural Product ID:  NPC24990
Common Name*:   Aerucyclamide D
IUPAC Name:   n.a.
Synonyms:   Aerucyclamide D
Standard InCHIKey:  MLBROOJXUZKDHY-PKPICYNOSA-N
Standard InCHI:  InChI=1S/C26H30N6O4S3/c1-14-21-24(35)27-11-20-28-18(12-38-20)22(33)29-16(8-9-37-2)26-31-19(13-39-26)23(34)30-17(25(32-21)36-14)10-15-6-4-3-5-7-15/h3-7,12,14,16-17,19,21H,8-11,13H2,1-2H3,(H,27,35)(H,29,33)(H,30,34)/t14-,16+,17+,19+,21+/m1/s1
SMILES:  C[C@@H]1[C@H]2C(=NCc3nc(cs3)C(=N[C@@H](CCSC)C3=N[C@@H](CS3)C(=N[C@@H](Cc3ccccc3)C(=N2)O1)O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL584196
PubChem CID:   25156432
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0000013] Amino acids, peptides, and analogues
          • [CHEMONTID:0000348] Peptides
            • [CHEMONTID:0001995] Cyclic peptides

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

  Species Source

☑ Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  NP Quantity Composition/Concentration

☑ Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  Biological Activity

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

  Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

●  The left chart: Distribution of similarity level between NPC24990 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

  Chemically structural similarity: II. Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC24990 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

  Bioactivity similarity: Similar Natural Products in NPASS

Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.

Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data