Natural Product: NPC472608

Natural Product IDNPC472608
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Machaeroceric Acid
IUPAC Name (1R,4aR,6aR,6aR,6bR,8aR,10S,12aR,14aR,14bR)-1,10-dihydroxy-2,2,6a,6b,9,9,12a-heptamethyl-1,3,4,5,6,6a,7,8,8a,10,11,12,13,14,14a,14b-hexadecahydropicene-4a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3581073
PubChem CID 24754545
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 WBFQJRAHTVDUSX-TVZSAIOCSA-N
Standard InCHI InChI=1S/C30H50O4/c1-25(2)14-16-30(24(33)34)17-15-28(6)18(22(30)23(25)32)8-9-20-27(5)12-11-21(31)26(3,4)19(27)10-13-29(20,28)7/h18-23,31-32H,8-17H2,1-7H3,(H,33,34)/t18-,19+,20-,21+,22+,23-,27+,28-,29-,30+/m1/s1
SMILES CC1(CCC2(CCC3(C(C2C1O)CCC4C3(CCC5C4(CCC(C5(C)C)O)C)C)C)C(=O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   474.37 Volume:   517.178
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Van der Waals volume.
Dense:   0.917 LogP:   3.2
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.226
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.725
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   27.0
TPSA:   77.76
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.418 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.811 Fsp3:   0.967
MCE-18:   109.831
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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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.307 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:   0.002
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.033
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.277 Promiscuous compounds:   0.021

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.393 MDCK Permeability:   -4.893
Pgp-inhibitor:   0.0 Pgp-substrate:   0.214
PAMPA:   0.996
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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):   0.019
20% Bioavailability (F20%):   0.025 30% Bioavailability (F30%):   0.047
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.157 MRP1:   0.999
Plasma Protein Binding (PPB):   80.818% Volume Distribution (VD):   -0.247
Fu: 14.407%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.003
OATP1B3 inhibitor:   0.766 BCRP inhibitor:   0.0
BSEP inhibitor:   0.036

ADMET: Metabolism

CYP1A2-inhibitor:   0.003 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.925 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.98 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.007 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.06 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.797 CYP2C8-inhibitor:   0.002
HLM stability:   0.534
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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):  5.086 Half-life (T1/2):  1.782

ADMET: Toxicity

hERG Blockers:  0.086 hERG Blockers (10um):  0.365
Human Hepatotoxicity (H-HT):  0.443 Drug-induced Liver Injury (DILI):  0.078
AMES Toxicity:  0.044 Rat Oral Acute Toxicity:  0.136
Maximum Recommended Daily Dose:  0.674 Skin Sensitization:  0.092
Carcinogencity:  0.221 Eye Corrosion:  0.013
Eye Irritation:  0.415 Respiratory Toxicity:  0.767
Drug-induced Neurotoxicity:  0.11 Ototoxicity:  0.942
Hematotoxicity:  0.099 Drug-induced Nephrotoxicity:  0.16
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.025
A549 Cytotoxicity:  0.108 Hek293 Cytotoxicity:  0.172
BCF:   1.789
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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:   4.803
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.059
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.382
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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
NPO30165 Pongamia pinnata Species Fabaceae Eukaryota stem bark Indonesia 1999-SEP PMID[14510596]
NPO30165 Pongamia pinnata Species Fabaceae Eukaryota n.a. stem n.a. PMID[14510596]
NPO30165 Pongamia pinnata Species Fabaceae Eukaryota dry stem n.a. n.a. PMID[25466192]
NPO30165 Pongamia pinnata Species Fabaceae Eukaryota Roots n.a. n.a. PMID[29482940]
NPO30165 Pongamia pinnata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO30165 Pongamia pinnata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]

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
NPT34 Cell line BV-2 Mus musculus IC50 = 22690.0 nM PMID[25466192]

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 NPC472608 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
0.7167 Intermediate Similarity NPC476071
0.7 Intermediate Similarity NPC30583
0.7 Intermediate Similarity NPC264317
0.7 Intermediate Similarity NPC294438
0.6667 Remote Similarity NPC18064
0.6667 Remote Similarity NPC16377
0.5909 Remote Similarity NPC187722
0.5909 Remote Similarity NPC151191
0.5846 Remote Similarity NPC488164
0.5846 Remote Similarity NPC264005
0.5763 Remote Similarity NPC212733
0.5714 Remote Similarity NPC298168
0.5714 Remote Similarity NPC143133
0.5714 Remote Similarity NPC232112
0.5606 Remote Similarity NPC474686
0.5606 Remote Similarity NPC181225
0.5522 Remote Similarity NPC474512
0.5507 Remote Similarity NPC488165
0.5493 Remote Similarity NPC481311
0.5441 Remote Similarity NPC2783
0.5217 Remote Similarity NPC480946
0.5217 Remote Similarity NPC130577
0.5217 Remote Similarity NPC142415
0.5217 Remote Similarity NPC102683
0.5167 Remote Similarity NPC142712
0.5161 Remote Similarity NPC97534
0.5161 Remote Similarity NPC195155
0.5147 Remote Similarity NPC488506
0.5147 Remote Similarity NPC220498
0.5143 Remote Similarity NPC182797
0.5143 Remote Similarity NPC51700
0.5143 Remote Similarity NPC88716
0.5143 Remote Similarity NPC68160
0.5143 Remote Similarity NPC52169
0.5143 Remote Similarity NPC488562
0.5082 Remote Similarity NPC480925
0.5082 Remote Similarity NPC48079

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC472608 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
0.7 Intermediate Similarity NPD7520 Phase 1

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