Natural Product: NPC560824

Natural Product IDNPC560824
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(4aR,6aS,6bR,10S,12aS)-10-hydroxy-2,2,4a,6a,6b,9,9,12a-octamethyl-1,2,3,4,4a,5,6,6a,6b,7,8,8a,9,10,11,12,12a,12b,13,14b-icosahydropicen-13-one
IUPAC Name (4~{a}~{R},6~{a}~{S},6~{b}~{R},10~{S},12~{a}~{S})-10-hydroxy-2,2,4~{a},6~{a},6~{b},9,9,12~{a}-octamethyl-3,4,5,6,6~{a},7,8,8~{a},10,11,12,14~{b}-dodecahydro-1~{H}-picen-13-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 UKAIYBGRLWQHDQ-VCUIEPQISA-N
Standard InCHI InChI=1S/C30H48O2/c1-25(2)13-14-27(5)15-16-29(7)19(20(27)18-25)17-21(31)24-28(6)11-10-23(32)26(3,4)22(28)9-12-30(24,29)8/h17,20,22-24,32H,9-16,18H2,1-8H3/t20?,22?,23-,24?,27+,28-,29+,30+/m0/s1
SMILES CC1(C)CC[C@]2(C)CC[C@]3(C)C(=CC(=O)C4[C@@]5(C)CC[C@H](O)C(C)(C)C5CC[C@]43C)C2C1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   440.37 Volume:   496.961
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Van der Waals volume.
Dense:   0.886 LogP:   4.216
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.902
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.225
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The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   27.0
TPSA:   37.3
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.427 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.632 Fsp3:   0.9
MCE-18:   104.0
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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:   0.499 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:   0.034
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.019
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.414 Promiscuous compounds:   0.23

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.125 MDCK Permeability:   -4.871
Pgp-inhibitor:   0.957 Pgp-substrate:   0.057
PAMPA:   0.916
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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%):   0.656 30% Bioavailability (F30%):   0.105
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.987 MRP1:   0.987
Plasma Protein Binding (PPB):   98.035% Volume Distribution (VD):   0.013
Fu: 2.282%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.339
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.004 CYP1A2-substrate:   0.963
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.67
CYP2C9-inhibitor:   0.003 CYP2C9-substrate:   0.005
CYP2D6-inhibitor:   0.665 CYP2D6-substrate:   0.104
CYP3A4-inhibitor:   0.995 CYP3A4-substrate:   0.399
CYP2B6-substrate:   0.009 CYP2C8-inhibitor:   0.693
HLM stability:   0.982
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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):  10.329 Half-life (T1/2):  0.183

ADMET: Toxicity

hERG Blockers:  0.086 hERG Blockers (10um):  0.422
Human Hepatotoxicity (H-HT):  0.813 Drug-induced Liver Injury (DILI):  0.097
AMES Toxicity:  0.272 Rat Oral Acute Toxicity:  0.556
Maximum Recommended Daily Dose:  0.812 Skin Sensitization:  0.573
Carcinogencity:  0.921 Eye Corrosion:  0.015
Eye Irritation:  0.605 Respiratory Toxicity:  0.823
Drug-induced Neurotoxicity:  0.223 Ototoxicity:  0.603
Hematotoxicity:  0.157 Drug-induced Nephrotoxicity:  0.407
Genotoxicity:  0.278 RPMI-8226 Immunitoxicity:  0.061
A549 Cytotoxicity:  0.293 Hek293 Cytotoxicity:  0.551
BCF:   2.848
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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:   5.084
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.263
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.202
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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
NPO29402 Launaea arborescens Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16248 Esenbeckia grandiflora Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29402 Launaea arborescens Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16248 Esenbeckia grandiflora Species Rutaceae 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 NPC560824 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
0.8103 Intermediate Similarity NPC214756
0.7797 Intermediate Similarity NPC295643
0.7414 Intermediate Similarity NPC602872
0.7031 Intermediate Similarity NPC4036
0.7031 Intermediate Similarity NPC65120
0.7031 Intermediate Similarity NPC145067
0.7031 Intermediate Similarity NPC233455
0.7031 Intermediate Similarity NPC158030
0.7018 Intermediate Similarity NPC190035
0.6721 Remote Similarity NPC480944
0.6552 Remote Similarity NPC290598
0.6552 Remote Similarity NPC30590
0.6508 Remote Similarity NPC479748
0.6406 Remote Similarity NPC272075
0.6324 Remote Similarity NPC471966
0.6129 Remote Similarity NPC475862
0.6119 Remote Similarity NPC98874
0.6032 Remote Similarity NPC470588
0.5873 Remote Similarity NPC235341
0.5797 Remote Similarity NPC610635
0.5606 Remote Similarity NPC246708
0.5469 Remote Similarity NPC101475
0.5469 Remote Similarity NPC196753
0.5312 Remote Similarity NPC474989
0.5224 Remote Similarity NPC73969
0.5143 Remote Similarity NPC488519

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC560824 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
0.7031 Intermediate Similarity NPD7515 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