Natural Product: NPC64217

Natural Product IDNPC64217
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KFJDDTQQIDDGCC-BURHBHQASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 14395311
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001552] Sesterterpenoids

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 KFJDDTQQIDDGCC-BURHBHQASA-N
Standard InCHI InChI=1S/C30H48O5/c1-9-27(5)12-10-13-28(6)23(27)11-14-29(7)24-15-22(34-19(3)32)21(18(2)31)17-30(24,8)26(16-25(28)29)35-20(4)33/h21-26H,9-17H2,1-8H3/t21-,22-,23+,24+,25-,26+,27+,28+,29+,30-/m1/s1
SMILES CC[C@@]1(C)CCC[C@@]2(C)[C@H]1CC[C@@]1(C)[C@@H]3C[C@H]([C@H](C[C@@]3(C)[C@H](C[C@H]21)OC(=O)C)C(=O)C)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   488.35 Volume:   529.252
?
Van der Waals volume.
Dense:   0.923 LogP:   4.543
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.654
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.671
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   24.0
TPSA:   69.67
?
Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   0.0 Rings:   4.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.422 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.923 Fsp3:   0.9
MCE-18:   86.842
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.847 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.01
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.574 Promiscuous compounds:   0.638

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.687 MDCK Permeability:   -4.766
Pgp-inhibitor:   0.962 Pgp-substrate:   0.01
PAMPA:   0.014
?
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):   0.0
20% Bioavailability (F20%):   0.111 30% Bioavailability (F30%):   0.53
50% Bioavailability (F50%):   0.964

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.817 MRP1:   0.913
Plasma Protein Binding (PPB):   87.352% Volume Distribution (VD):   0.35
Fu: 10.239%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.566
BSEP inhibitor:   0.982

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.012
CYP2C19-inhibitor:   0.94 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.993
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.05
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.998
HLM stability:   0.339
?
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):  10.395 Half-life (T1/2):  0.369

ADMET: Toxicity

hERG Blockers:  0.104 hERG Blockers (10um):  0.362
Human Hepatotoxicity (H-HT):  0.58 Drug-induced Liver Injury (DILI):  0.538
AMES Toxicity:  0.446 Rat Oral Acute Toxicity:  0.335
Maximum Recommended Daily Dose:  0.599 Skin Sensitization:  0.988
Carcinogencity:  0.882 Eye Corrosion:  0.353
Eye Irritation:  0.773 Respiratory Toxicity:  0.735
Drug-induced Neurotoxicity:  0.071 Ototoxicity:  0.174
Hematotoxicity:  0.719 Drug-induced Nephrotoxicity:  0.49
Genotoxicity:  0.293 RPMI-8226 Immunitoxicity:  0.039
A549 Cytotoxicity:  0.363 Hek293 Cytotoxicity:  0.538
BCF:   1.524
?
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:   4.545
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.011
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.562
?
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
NPO2453 Stachybotrys chartarum Species Stachybotryaceae Eukaryota Niphates recondita Weizhou Island, Beibuwan Bay, Guangxi,China n.a. PMID[24387683]
NPO2453 Stachybotrys chartarum Species Stachybotryaceae Eukaryota n.a. n.a. n.a. PMID[24387683]
NPO2453 Stachybotrys chartarum Species Stachybotryaceae Eukaryota n.a. n.a. n.a. PMID[28530828]
NPO2453 Stachybotrys chartarum Species Stachybotryaceae Eukaryota n.a. n.a. n.a. PMID[31265296]
NPO2453 Stachybotrys chartarum Species Stachybotryaceae Eukaryota n.a. n.a. n.a. PMID[32966070]
NPO12586 Tapirira guianensis Species Anacardiaceae Eukaryota n.a. n.a. n.a. PMID[9514013]
NPO9147 Frasera albomarginata Species Gentianaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22505 Bombax ceiba Species Malvaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2453 Stachybotrys chartarum Species Stachybotryaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11328 Juniperus chinensis Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28504 Calothrix brevissima Species Rivulariaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO3308 Calycadenia fremontii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12931 Carex pumila Species Cyperaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8395.1 Crepis foetida subsp. rhoeadifolia Subspecies Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13038 Fomes hartigii Species Coriolaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12586 Tapirira guianensis Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8857 Hydnum repandum Species Hydnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10944 Mantella baroni Species Mantellidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7116 Monachosorum henryi Species Dennstaedtiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2431 Penicilliopsis zonata Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9355 Polygonatum orientale Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9977 Polygonum sieboldi Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12364 Polyides rotundus Species Polyideaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12708 Rothia indica Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8225 Salvia karabachensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6781 Senecio acanthifolius Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5958 Senegalia modesta Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5472 Spongia foliascens Species Spongiidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8225 Salvia karabachensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7116 Monachosorum henryi Species Dennstaedtiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22505 Bombax ceiba Species Malvaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11328 Juniperus chinensis Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8225 Salvia karabachensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8857 Hydnum repandum Species Hydnaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8225 Salvia karabachensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9147 Frasera albomarginata Species Gentianaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9355 Polygonatum orientale Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11328 Juniperus chinensis Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22505 Bombax ceiba Species Malvaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12708 Rothia indica Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13038 Fomes hartigii Species Coriolaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28504 Calothrix brevissima Species Rivulariaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO8857 Hydnum repandum Species Hydnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9977 Polygonum sieboldi Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7116 Monachosorum henryi Species Dennstaedtiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3308 Calycadenia fremontii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5958 Senegalia modesta Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12364 Polyides rotundus Species Polyideaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12931 Carex pumila Species Cyperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8395.1 Crepis foetida subsp. rhoeadifolia Subspecies Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10944 Mantella baroni Species Mantellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6781 Senecio acanthifolius Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8225 Salvia karabachensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2453 Stachybotrys chartarum Species Stachybotryaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2431 Penicilliopsis zonata Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5472 Spongia foliascens Species Spongiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12586 Tapirira guianensis Species Anacardiaceae 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

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 NPC64217 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
0.6786 Remote Similarity NPC237938
0.6491 Remote Similarity NPC9060
0.6034 Remote Similarity NPC269121
0.5902 Remote Similarity NPC474572
0.5538 Remote Similarity NPC88337
0.55 Remote Similarity NPC219535
0.5484 Remote Similarity NPC3032
0.541 Remote Similarity NPC601034
0.5294 Remote Similarity NPC475211
0.5246 Remote Similarity NPC181871

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC64217 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