Natural Product: NPC211641

Natural Product IDNPC211641
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
12-Deacetoxyscalaradial
IUPAC Name (1R,4aS,4bR,6aS,10aS,10bR,12aS)-4b,7,7,10a,12a-pentamethyl-1,4,4a,5,6,6a,8,9,10,10b,11,12-dodecahydrochrysene-1,2-dicarbaldehyde
Synonyms 12-Deacetoxyscalaradial
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL472023
PubChem CID 9976453
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001552] Sesterterpenoids
          • [CHEMONTID:0002883] Scalarane sesterterpenoids

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 QNKOIQITFODMFG-RNDOZLNUSA-N
Standard InCHI InChI=1S/C25H38O2/c1-22(2)11-6-12-24(4)19(22)9-14-25(5)20-8-7-17(15-26)18(16-27)23(20,3)13-10-21(24)25/h7,15-16,18-21H,6,8-14H2,1-5H3/t18-,19-,20+,21+,23+,24-,25-/m0/s1
SMILES CC1(C)CCC[C@@]2(C)[C@H]1CC[C@@]1(C)[C@@H]3CC=C(C=O)[C@H](C=O)[C@@]3(C)CC[C@H]21

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   370.29 Volume:   416.401
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Van der Waals volume.
Dense:   0.889 LogP:   4.469
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.545
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.092
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   23.0
TPSA:   34.14
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   0.0 Rings:   4.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.559 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.629 Fsp3:   0.84
MCE-18:   78.174
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.578 Fluc inhibitor:   0.323
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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:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.864 Promiscuous compounds:   0.119

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.535 MDCK Permeability:   -4.767
Pgp-inhibitor:   0.994 Pgp-substrate:   0.0
PAMPA:   0.005
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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):   0.002
20% Bioavailability (F20%):   0.048 30% Bioavailability (F30%):   0.303
50% Bioavailability (F50%):   0.901

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.503 MRP1:   0.049
Plasma Protein Binding (PPB):   97.645% Volume Distribution (VD):   0.284
Fu: 3.197%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.881
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.181
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.007
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.389
CYP2D6-inhibitor:   0.244 CYP2D6-substrate:   0.312
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.024
HLM stability:   0.189
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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):  9.872 Half-life (T1/2):  0.556

ADMET: Toxicity

hERG Blockers:  0.047 hERG Blockers (10um):  0.217
Human Hepatotoxicity (H-HT):  0.421 Drug-induced Liver Injury (DILI):  0.408
AMES Toxicity:  0.534 Rat Oral Acute Toxicity:  0.225
Maximum Recommended Daily Dose:  0.672 Skin Sensitization:  0.983
Carcinogencity:  0.953 Eye Corrosion:  0.902
Eye Irritation:  0.981 Respiratory Toxicity:  0.824
Drug-induced Neurotoxicity:  0.238 Ototoxicity:  0.146
Hematotoxicity:  0.639 Drug-induced Nephrotoxicity:  0.764
Genotoxicity:  0.945 RPMI-8226 Immunitoxicity:  0.045
A549 Cytotoxicity:  0.074 Hek293 Cytotoxicity:  0.651
BCF:   2.712
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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:   5.841
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.4
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   7.358
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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
NPO33102 psammocinia sp. Species Irciniidae Eukaryota n.a. n.a. n.a. PMID[15270579]
NPO33102 psammocinia sp. Species Irciniidae Eukaryota n.a. Korean n.a. PMID[23489626]
NPO33102 psammocinia sp. Species Irciniidae Eukaryota n.a. n.a. n.a. PMID[28621941]
NPO23862 Cacospongia mollior Species Thorectidae Eukaryota n.a. n.a. n.a. PMID[8176402]
NPO23862 Cacospongia mollior Species Thorectidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23862 Cacospongia mollior Species Thorectidae Eukaryota n.a. n.a. n.a. Database[Title]
NPO23862 Cacospongia mollior Species Thorectidae 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
NPT369 Cell line ACHN Homo sapiens IC50 > 50000.0 nM PMID[18183025]
NPT376 Cell line A498 Homo sapiens IC50 > 50000.0 nM PMID[18183025]
NPT3885 Cell line CV-1 Chlorocebus aethiops IC50 = 45000.0 nM PMID[18183025]
NPT461 Cell line PANC-1 Homo sapiens IC50 = 38800.0 nM PMID[19271749]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 45900.0 nM PMID[23489626]

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
- Artemia salina LD50 = 0.77 ug ml-1 PMID[7852999]

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 NPC211641 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
0.7895 Intermediate Similarity NPC4370
0.7895 Intermediate Similarity NPC290350
0.7895 Intermediate Similarity NPC481947
0.7391 Intermediate Similarity NPC307258
0.7174 Intermediate Similarity NPC115515
0.6735 Remote Similarity NPC606859
0.6458 Remote Similarity NPC219232
0.6458 Remote Similarity NPC128346
0.6346 Remote Similarity NPC269729
0.6346 Remote Similarity NPC606340
0.5192 Remote Similarity NPC605274
0.5185 Remote Similarity NPC257726

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC211641 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