Natural Product: NPC592609

Natural Product IDNPC592609
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(1~{R},5~{a}~{R},5~{b}~{R},7~{a}~{R},8~{R},11~{a}~{R},11~{b}~{R},13~{a}~{R},13~{b}~{R})-5~{a},5~{b},8,11~{a}-tetramethyl-1-(1-methylenepropyl)-1,2,3,4,5,6,7,7~{a},9,10,11,11~{b},12,13,13~{a},13~{b}-hexadecahydrocyclopenta[a]chrysene-3~{a},8-dicarboxylic acid
IUPAC Name (1~{R},5~{a}~{R},5~{b}~{R},7~{a}~{R},8~{R},11~{a}~{R},11~{b}~{R},13~{a}~{R},13~{b}~{R})-5~{a},5~{b},8,11~{a}-tetramethyl-1-(1-methylenepropyl)-1,2,3,4,5,6,7,7~{a},9,10,11,11~{b},12,13,13~{a},13~{b}-hexadecahydrocyclopenta[a]chrysene-3~{a},8-dicarboxylic acid
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 OVMIVBJJVBSTIJ-GDQINFEWSA-N
Standard InCHI InChI=1S/C31H48O4/c1-7-19(2)20-11-16-31(26(34)35)18-17-29(5)21(24(20)31)9-10-23-27(3)13-8-14-28(4,25(32)33)22(27)12-15-30(23,29)6/h20-24H,2,7-18H2,1,3-6H3,(H,32,33)(H,34,35)/t20-,21+,22+,23+,24+,27-,28+,29+,30+,31?/m0/s1
SMILES C=C(CC)[C@@H]1CCC2(C(=O)O)CC[C@]3(C)[C@H](CC[C@@H]4[C@@]5(C)CCC[C@@](C)(C(=O)O)[C@@H]5CC[C@]43C)[C@@H]12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   484.36 Volume:   529.201
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Van der Waals volume.
Dense:   0.915 LogP:   4.782
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.621
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.734
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   28.0
TPSA:   74.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.403 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.879 Fsp3:   0.871
MCE-18:   103.517
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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:   0.974 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.001
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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:   0.439 Promiscuous compounds:   0.043

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.409 MDCK Permeability:   -5.036
Pgp-inhibitor:   0.007 Pgp-substrate:   0.001
PAMPA:   0.984
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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):   0.0
20% Bioavailability (F20%):   0.04 30% Bioavailability (F30%):   0.018
50% Bioavailability (F50%):   0.217

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.02 MRP1:   0.975
Plasma Protein Binding (PPB):   97.775% Volume Distribution (VD):   -0.493
Fu: 2.025%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.784 BCRP inhibitor:   0.054
BSEP inhibitor:   0.994

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.01 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.665 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.488 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.0
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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):  0.805 Half-life (T1/2):  1.311

ADMET: Toxicity

hERG Blockers:  0.01 hERG Blockers (10um):  0.006
Human Hepatotoxicity (H-HT):  0.57 Drug-induced Liver Injury (DILI):  0.717
AMES Toxicity:  0.092 Rat Oral Acute Toxicity:  0.114
Maximum Recommended Daily Dose:  0.258 Skin Sensitization:  0.943
Carcinogencity:  0.757 Eye Corrosion:  0.723
Eye Irritation:  0.888 Respiratory Toxicity:  0.906
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.581
Hematotoxicity:  0.719 Drug-induced Nephrotoxicity:  0.967
Genotoxicity:  0.314 RPMI-8226 Immunitoxicity:  0.012
A549 Cytotoxicity:  0.007 Hek293 Cytotoxicity:  0.024
BCF:   0.753
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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:   3.783
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.336
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.525
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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
NPO5283 Schefflera actinophylla Species Araliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5283 Schefflera actinophylla Species Araliaceae 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 NPC592609 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
0.65 Remote Similarity NPC68828
0.625 Remote Similarity NPC213832
0.5968 Remote Similarity NPC246445
0.5692 Remote Similarity NPC192744
0.5606 Remote Similarity NPC264317
0.5606 Remote Similarity NPC294438
0.5522 Remote Similarity NPC488506
0.5522 Remote Similarity NPC488164
0.5522 Remote Similarity NPC220498
0.5522 Remote Similarity NPC264005
0.5441 Remote Similarity NPC271974
0.5441 Remote Similarity NPC247312
0.5441 Remote Similarity NPC201655
0.5362 Remote Similarity NPC4309
0.5362 Remote Similarity NPC16377
0.5333 Remote Similarity NPC330659
0.5333 Remote Similarity NPC244708
0.5333 Remote Similarity NPC161187
0.5286 Remote Similarity NPC601275
0.5224 Remote Similarity NPC119743
0.5211 Remote Similarity NPC488165
0.5211 Remote Similarity NPC160506
0.5147 Remote Similarity NPC80590
0.5139 Remote Similarity NPC478841
0.5139 Remote Similarity NPC488166
0.5139 Remote Similarity NPC608379
0.5079 Remote Similarity NPC212661
0.5079 Remote Similarity NPC471035
0.5072 Remote Similarity NPC24772
0.5072 Remote Similarity NPC211162
0.5072 Remote Similarity NPC183374
0.5072 Remote Similarity NPC291373

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC592609 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
0.5606 Remote Similarity NPD7520 Phase 1
0.5211 Remote Similarity NPD8035 Phase 2

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