Natural Product: NPC489805

Natural Product IDNPC489805
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
QTHJBQZEVGXHJY-GIDRQHGRSA-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 QTHJBQZEVGXHJY-GIDRQHGRSA-N
Standard InCHI InChI=1S/C35H52O8/c1-19(31(39)40)11-12-25(42-21(3)36)20(2)24-17-29(43-22(4)37)35(9)30-23(13-16-34(24,35)8)33(7)15-14-28(38)32(5,6)27(33)18-26(30)41-10/h11,20,24-27,29H,12-18H2,1-10H3,(H,39,40)/b19-11+/t20-,24+,25-,26+,27-,29-,33+,34+,35-/m0/s1
SMILES C/C(=CC[C@@H]([C@@H](C)[C@H]1C[C@@H]([C@@]2(C)C3=C(CC[C@]12C)[C@@]1(C)CCC(=O)C(C)(C)[C@@H]1C[C@H]3OC)OC(=O)C)OC(=O)C)/C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   600.37 Volume:   634.193
?
Van der Waals volume.
Dense:   0.947 LogP:   2.737
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.583
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.026
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   25.0
TPSA:   116.2
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.192 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.431 Fsp3:   0.771
MCE-18:   90.71
?
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:   0.946 Fluc inhibitor:   0.001
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.012
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.361 Promiscuous compounds:   0.536

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.142 MDCK Permeability:   -4.899
Pgp-inhibitor:   0.964 Pgp-substrate:   0.003
PAMPA:   0.927
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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):   0.003
20% Bioavailability (F20%):   0.364 30% Bioavailability (F30%):   0.513
50% Bioavailability (F50%):   0.957

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   1.0
Plasma Protein Binding (PPB):   82.071% Volume Distribution (VD):   -0.183
Fu: 20.567%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.009
BSEP inhibitor:   0.996

ADMET: Metabolism

CYP1A2-inhibitor:   0.32 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.514 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.03 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.997 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.983
HLM stability:   0.941
?
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):  4.579 Half-life (T1/2):  0.617

ADMET: Toxicity

hERG Blockers:  0.016 hERG Blockers (10um):  0.033
Human Hepatotoxicity (H-HT):  0.741 Drug-induced Liver Injury (DILI):  0.942
AMES Toxicity:  0.183 Rat Oral Acute Toxicity:  0.444
Maximum Recommended Daily Dose:  0.572 Skin Sensitization:  0.898
Carcinogencity:  0.559 Eye Corrosion:  0.0
Eye Irritation:  0.032 Respiratory Toxicity:  0.59
Drug-induced Neurotoxicity:  0.349 Ototoxicity:  0.671
Hematotoxicity:  0.759 Drug-induced Nephrotoxicity:  0.82
Genotoxicity:  0.99 RPMI-8226 Immunitoxicity:  0.064
A549 Cytotoxicity:  0.238 Hek293 Cytotoxicity:  0.256
BCF:   0.443
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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:   3.253
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.857
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.148
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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 > 83000.0 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 NPC489805 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
0.7945 Intermediate Similarity NPC478305
0.7945 Intermediate Similarity NPC52776
0.7838 Intermediate Similarity NPC478311
0.7703 Intermediate Similarity NPC478299
0.7436 Intermediate Similarity NPC478310
0.7143 Intermediate Similarity NPC610168
0.6795 Remote Similarity NPC92022
0.6375 Remote Similarity NPC489788
0.6375 Remote Similarity NPC299325
0.6282 Remote Similarity NPC69982
0.6203 Remote Similarity NPC478300
0.6125 Remote Similarity NPC478297
0.6125 Remote Similarity NPC478301
0.6049 Remote Similarity NPC489803
0.6049 Remote Similarity NPC489804
0.6024 Remote Similarity NPC478304
0.6024 Remote Similarity NPC231673
0.6 Remote Similarity NPC489809
0.5926 Remote Similarity NPC489802
0.5833 Remote Similarity NPC478309
0.5802 Remote Similarity NPC489789
0.5765 Remote Similarity NPC76162
0.5698 Remote Similarity NPC198442
0.561 Remote Similarity NPC478312
0.5517 Remote Similarity NPC489794
0.5422 Remote Similarity NPC85742
0.5422 Remote Similarity NPC22421
0.5357 Remote Similarity NPC58410
0.5341 Remote Similarity NPC489806
0.5287 Remote Similarity NPC166120
0.5233 Remote Similarity NPC137552
0.5233 Remote Similarity NPC99411
0.5176 Remote Similarity NPC489807
0.5176 Remote Similarity NPC478298

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC489805 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