Natural Product: NPC486811

Natural Product IDNPC486811
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KDKIOCIPCJDWMT-BPPFJZGASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001535] Polyprenols

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey KDKIOCIPCJDWMT-BPPFJZGASA-N
Standard InCHI InChI=1S/C36H42O10/c1-7-14(2)30(40)45-13-35(43)22-10-21(22)33(4)23(35)11-20-18(12-37)32(42)46-36(20)24(33)9-17-16-8-19(16)34(5)26(17)27(36)25(28(38)29(34)39)15(3)31(41)44-6/h7,16,19,21-24,27,29,37,39,43H,8-13H2,1-6H3/b14-7+,25-15+/t16-,19-,21-,22+,23+,24+,27+,29+,33+,34+,35-,36+/m1/s1
SMILES C/C=C(C)/C(=O)OC[C@]1([C@H]2C[C@H]2[C@@]2(C)[C@@H]1CC1=C(CO)C(=O)O[C@@]31[C@H]2CC1=C2[C@@H]3/C(=C(/C)C(=O)OC)/C(=O)[C@@H]([C@@]2(C)[C@@H]2C[C@H]12)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   634.28 Volume:   629.571
?
Van der Waals volume.
Dense:   1.007 LogP:   1.775
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.223
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.937
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   37.0
TPSA:   156.66
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   3.0 Rings:   8.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.178 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.723 Fsp3:   0.667
MCE-18:   194.333
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.5 Fluc inhibitor:   0.078
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.565
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.002
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.179 Promiscuous compounds:   0.588

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.106 MDCK Permeability:   -4.811
Pgp-inhibitor:   0.016 Pgp-substrate:   0.107
PAMPA:   0.973
?
The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.028
20% Bioavailability (F20%):   0.958 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.02 MRP1:   0.981
Plasma Protein Binding (PPB):   77.178% Volume Distribution (VD):   -0.021
Fu: 24.962%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.189
BSEP inhibitor:   0.936

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.404
CYP3A4-inhibitor:   0.994 CYP3A4-substrate:   0.002
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.981
HLM stability:   0.033
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  2.464 Half-life (T1/2):  1.724

ADMET: Toxicity

hERG Blockers:  0.007 hERG Blockers (10um):  0.059
Human Hepatotoxicity (H-HT):  0.873 Drug-induced Liver Injury (DILI):  0.715
AMES Toxicity:  0.651 Rat Oral Acute Toxicity:  0.405
Maximum Recommended Daily Dose:  0.925 Skin Sensitization:  0.995
Carcinogencity:  0.805 Eye Corrosion:  0.0
Eye Irritation:  0.02 Respiratory Toxicity:  0.39
Drug-induced Neurotoxicity:  0.048 Ototoxicity:  0.934
Hematotoxicity:  0.837 Drug-induced Nephrotoxicity:  0.99
Genotoxicity:  0.999 RPMI-8226 Immunitoxicity:  0.243
A549 Cytotoxicity:  0.194 Hek293 Cytotoxicity:  0.423
BCF:   0.617
?
Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   3.845
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.929
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.067
?
96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO15190 Chloranthus fortunei Species Chloranthaceae Eukaryota n.a. n.a. n.a. PMID[27997206]
NPO15190 Chloranthus fortunei Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15190 Chloranthus fortunei Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

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

Organism ID Organism Name Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

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

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT1374 Cell line WI-38 Homo sapiens IC50 = 770.0 nM PMID[27997206]
NPT6 Organism Plasmodium falciparum Plasmodium falciparum IC50 = 21.0 nM PMID[27997206]
NPT2 Others Unspecified n.a. Ratio IC50 = 37.0 n.a. PMID[27997206]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

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 toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC486811 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
1.0 High Similarity NPC220757
0.9259 High Similarity NPC196921
0.8987 High Similarity NPC275236
0.8875 High Similarity NPC15095
0.878 High Similarity NPC486799
0.8571 High Similarity NPC19772
0.8452 Intermediate Similarity NPC35109
0.7912 Intermediate Similarity NPC486798
0.7816 Intermediate Similarity NPC59488
0.7683 Intermediate Similarity NPC486809
0.7634 Intermediate Similarity NPC486810
0.75 Intermediate Similarity NPC34963
0.75 Intermediate Similarity NPC186637
0.7416 Intermediate Similarity NPC299570
0.7368 Intermediate Similarity NPC290020
0.7234 Intermediate Similarity NPC164241
0.7021 Intermediate Similarity NPC241935
0.7021 Intermediate Similarity NPC486803
0.69 Remote Similarity NPC58029
0.6875 Remote Similarity NPC486797
0.6837 Remote Similarity NPC279478
0.6629 Remote Similarity NPC17938
0.6437 Remote Similarity NPC486812
0.604 Remote Similarity NPC469673
0.5761 Remote Similarity NPC263046
0.5682 Remote Similarity NPC309497
0.5682 Remote Similarity NPC611150
0.5294 Remote Similarity NPC469381
0.5248 Remote Similarity NPC254823
0.5049 Remote Similarity NPC486807

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC486811 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
NPD

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by 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