Natural Product: NPC489790

Natural Product IDNPC489790
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FUERKWNAVROYFF-GCVMWHCASA-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:0001553] Triterpenoids

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 FUERKWNAVROYFF-GCVMWHCASA-N
Standard InCHI InChI=1S/C32H48O4/c1-20(10-9-11-21(2)28(34)35)23-14-18-32(8)25-12-13-26-29(4,5)27(36-22(3)33)16-17-30(26,6)24(25)15-19-31(23,32)7/h11-12,15,20,23,26-27H,9-10,13-14,16-19H2,1-8H3,(H,34,35)/b21-11+/t20-,23-,26+,27+,30-,31-,32+/m1/s1
SMILES C[C@H](CC/C=C(C)/C(=O)O)[C@H]1CC[C@@]2(C)C3=CC[C@H]4C(C)(C)[C@H](CC[C@]4(C)C3=CC[C@]12C)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   496.36 Volume:   549.781
?
Van der Waals volume.
Dense:   0.903 LogP:   5.912
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.502
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.492
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   23.0
TPSA:   63.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.3 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.816 Fsp3:   0.75
MCE-18:   81.321
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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:   0.892 Fluc inhibitor:   0.004
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.025
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.628 Promiscuous compounds:   0.225

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.092 MDCK Permeability:   -4.84
Pgp-inhibitor:   1.0 Pgp-substrate:   0.0
PAMPA:   0.071
?
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):   0.039
20% Bioavailability (F20%):   0.984 30% Bioavailability (F30%):   0.996
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.902
Plasma Protein Binding (PPB):   89.274% Volume Distribution (VD):   -0.407
Fu: 8.532%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.072
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.344
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.037
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.67
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.002
?
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):  4.268 Half-life (T1/2):  0.602

ADMET: Toxicity

hERG Blockers:  0.031 hERG Blockers (10um):  0.049
Human Hepatotoxicity (H-HT):  0.713 Drug-induced Liver Injury (DILI):  0.687
AMES Toxicity:  0.098 Rat Oral Acute Toxicity:  0.165
Maximum Recommended Daily Dose:  0.303 Skin Sensitization:  0.963
Carcinogencity:  0.352 Eye Corrosion:  0.035
Eye Irritation:  0.522 Respiratory Toxicity:  0.5
Drug-induced Neurotoxicity:  0.021 Ototoxicity:  0.578
Hematotoxicity:  0.517 Drug-induced Nephrotoxicity:  0.675
Genotoxicity:  0.821 RPMI-8226 Immunitoxicity:  0.03
A549 Cytotoxicity:  0.095 Hek293 Cytotoxicity:  0.21
BCF:   1.296
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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:   4.412
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.045
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.417
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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
NPO40519 Ganoderma orbiforme BCC 22325 Strain Polyporaceae Eukaryota n.a. n.a. n.a. PMID[28504879]
NPO40520 Ganoderma sp. BCC 60695 Strain Polyporaceae Eukaryota n.a. n.a. n.a. PMID[28504879]
NPO40518 Ganoderma australe BCC 22314 Strain Polyporaceae Eukaryota n.a. n.a. n.a. PMID[28504879]

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
NPT189 Cell line Vero Chlorocebus aethiops IC50 > 101000.0 nM PMID[28504879]
NPT88 Organism Mycobacterium tuberculosis Mycobacterium tuberculosis MIC > 50.0 ug.mL-1 PMID[28504879]

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 NPC489790 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 NPC478313
0.791 Intermediate Similarity NPC276127
0.791 Intermediate Similarity NPC478307
0.7794 Intermediate Similarity NPC136044
0.7361 Intermediate Similarity NPC94393
0.7059 Intermediate Similarity NPC212948
0.6812 Remote Similarity NPC87552
0.662 Remote Similarity NPC608955
0.6316 Remote Similarity NPC478302
0.6267 Remote Similarity NPC39082
0.6267 Remote Similarity NPC610107
0.6133 Remote Similarity NPC85742
0.6133 Remote Similarity NPC22421
0.6104 Remote Similarity NPC137552
0.6104 Remote Similarity NPC99411
0.6 Remote Similarity NPC141401
0.5921 Remote Similarity NPC478312
0.5867 Remote Similarity NPC478308
0.5641 Remote Similarity NPC484969
0.557 Remote Similarity NPC489803
0.557 Remote Similarity NPC489804
0.5526 Remote Similarity NPC214697
0.5443 Remote Similarity NPC288464
0.5443 Remote Similarity NPC477813
0.5443 Remote Similarity NPC607198
0.5432 Remote Similarity NPC478303
0.5432 Remote Similarity NPC489796
0.5395 Remote Similarity NPC138536
0.5366 Remote Similarity NPC489799
0.5301 Remote Similarity NPC489793
0.527 Remote Similarity NPC475772
0.5256 Remote Similarity NPC38232
0.525 Remote Similarity NPC489807
0.525 Remote Similarity NPC478298
0.5238 Remote Similarity NPC478306
0.5238 Remote Similarity NPC137291
0.5211 Remote Similarity NPC205455
0.5205 Remote Similarity NPC202389
0.5122 Remote Similarity NPC489788
0.5122 Remote Similarity NPC299325
0.506 Remote Similarity NPC489795

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC489790 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