Natural Product: NPC92022

Natural Product IDNPC92022
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
RDQLYDRUPXDRSE-YZQFCQQCSA-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 RDQLYDRUPXDRSE-YZQFCQQCSA-N
Standard InCHI InChI=1S/C34H48O7/c1-19(30(38)39)10-12-26(40-21(3)35)20(2)25-18-29(41-22(4)36)34(9)24-11-13-27-31(5,6)28(37)15-16-32(27,7)23(24)14-17-33(25,34)8/h10-11,14,20,25-27,29H,12-13,15-18H2,1-9H3,(H,38,39)/b19-10+/t20-,25+,26-,27-,29-,32+,33+,34+/m0/s1
SMILES C/C(=CC[C@@H]([C@@H](C)[C@H]1C[C@@H]([C@@]2(C)C3=CC[C@H]4C(C)(C)C(=O)CC[C@]4(C)C3=CC[C@]12C)OC(=O)C)OC(=O)C)/C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   568.34 Volume:   605.47
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Van der Waals volume.
Dense:   0.939 LogP:   3.096
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.816
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.454
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   25.0
TPSA:   106.97
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.272 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.318 Fsp3:   0.706
MCE-18:   86.897
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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:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.91 Fluc inhibitor:   0.032
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.081
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.002
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.434 Promiscuous compounds:   0.374

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.298 MDCK Permeability:   -5.033
Pgp-inhibitor:   0.995 Pgp-substrate:   0.001
PAMPA:   0.772
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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):   0.004
20% Bioavailability (F20%):   0.454 30% Bioavailability (F30%):   0.802
50% Bioavailability (F50%):   0.988

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.993
Plasma Protein Binding (PPB):   82.811% Volume Distribution (VD):   -0.254
Fu: 17.219%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.012
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.057 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.016 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.103
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   0.867
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.987
?
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):  4.178 Half-life (T1/2):  0.618

ADMET: Toxicity

hERG Blockers:  0.021 hERG Blockers (10um):  0.039
Human Hepatotoxicity (H-HT):  0.735 Drug-induced Liver Injury (DILI):  0.91
AMES Toxicity:  0.157 Rat Oral Acute Toxicity:  0.245
Maximum Recommended Daily Dose:  0.441 Skin Sensitization:  0.962
Carcinogencity:  0.521 Eye Corrosion:  0.002
Eye Irritation:  0.038 Respiratory Toxicity:  0.319
Drug-induced Neurotoxicity:  0.25 Ototoxicity:  0.8
Hematotoxicity:  0.686 Drug-induced Nephrotoxicity:  0.862
Genotoxicity:  0.968 RPMI-8226 Immunitoxicity:  0.067
A549 Cytotoxicity:  0.092 Hek293 Cytotoxicity:  0.081
BCF:   0.5
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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:   3.466
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.294
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.52
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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 = 87000.0 nM PMID[28504879]
NPT88 Organism Mycobacterium tuberculosis Mycobacterium tuberculosis MIC = 25.0 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 NPC92022 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
0.7857 Intermediate Similarity NPC85742
0.7857 Intermediate Similarity NPC22421
0.7778 Intermediate Similarity NPC137552
0.7778 Intermediate Similarity NPC99411
0.7746 Intermediate Similarity NPC58410
0.7606 Intermediate Similarity NPC478312
0.7105 Intermediate Similarity NPC166120
0.7067 Intermediate Similarity NPC478299
0.6795 Remote Similarity NPC489805
0.6625 Remote Similarity NPC478310
0.6104 Remote Similarity NPC276127
0.6104 Remote Similarity NPC478307
0.6026 Remote Similarity NPC136044
0.5949 Remote Similarity NPC39082
0.5949 Remote Similarity NPC610107
0.5897 Remote Similarity NPC141401
0.5897 Remote Similarity NPC69982
0.5823 Remote Similarity NPC489791
0.575 Remote Similarity NPC478297
0.5732 Remote Similarity NPC478311
0.5625 Remote Similarity NPC478300
0.5556 Remote Similarity NPC478301
0.5476 Remote Similarity NPC478309
0.5422 Remote Similarity NPC478305
0.5422 Remote Similarity NPC52776
0.5412 Remote Similarity NPC76162
0.5385 Remote Similarity NPC87552
0.5366 Remote Similarity NPC489802
0.5357 Remote Similarity NPC610168
0.5294 Remote Similarity NPC478304
0.5294 Remote Similarity NPC231673
0.506 Remote Similarity NPC285702
0.506 Remote Similarity NPC166745
0.506 Remote Similarity NPC235464

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC92022 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