Natural Product: NPC493040

Natural Product IDNPC493040
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5alpha-pregnene-3beta-ol
IUPAC Name (3~{S},5~{S},8~{R},9~{S},10~{S},13~{R},14~{S},17~{R})-10,13-dimethyl-17-vinyl-2,3,4,5,6,7,8,9,11,12,14,15,16,17-tetradecahydro-1~{H}-cyclopenta[a]phenanthren-3-ol
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 JKTCVURCUCFDGC-DDYSHWNRSA-N
Standard InCHI InChI=1S/C21H34O/c1-4-14-6-8-18-17-7-5-15-13-16(22)9-11-21(15,3)19(17)10-12-20(14,18)2/h4,14-19,22H,1,5-13H2,2-3H3/t14-,15-,16-,17-,18-,19-,20+,21-/m0/s1
SMILES C=C[C@H]1CC[C@H]2[C@@H]3CC[C@H]4C[C@@H](O)CC[C@]4(C)[C@H]3CC[C@]12C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   302.26 Volume:   343.7
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Van der Waals volume.
Dense:   0.879 LogP:   5.897
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.437
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.78
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   21.0
TPSA:   20.23
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Topological Polar Surface Area.
H-Bond Acceptor:   1.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   1.0

MedChem Properties

QED Drug-Likeness Score:   0.661 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.223 Fsp3:   0.905
MCE-18:   68.4
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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:   0.568 Fluc inhibitor:   0.058
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.015
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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:   0.862 Promiscuous compounds:   0.251

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.773 MDCK Permeability:   -4.884
Pgp-inhibitor:   0.522 Pgp-substrate:   0.068
PAMPA:   0.047
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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):   0.001
20% Bioavailability (F20%):   0.153 30% Bioavailability (F30%):   0.39
50% Bioavailability (F50%):   0.904

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.843 MRP1:   0.045
Plasma Protein Binding (PPB):   92.341% Volume Distribution (VD):   -0.081
Fu: 8.21%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.959
BSEP inhibitor:   0.67

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.084
CYP2C19-inhibitor:   0.674 CYP2C19-substrate:   0.008
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.882
CYP2D6-inhibitor:   0.714 CYP2D6-substrate:   0.575
CYP3A4-inhibitor:   0.998 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.975
HLM stability:   0.859
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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):  17.189 Half-life (T1/2):  1.651

ADMET: Toxicity

hERG Blockers:  0.179 hERG Blockers (10um):  0.397
Human Hepatotoxicity (H-HT):  0.524 Drug-induced Liver Injury (DILI):  0.394
AMES Toxicity:  0.133 Rat Oral Acute Toxicity:  0.074
Maximum Recommended Daily Dose:  0.853 Skin Sensitization:  0.978
Carcinogencity:  0.962 Eye Corrosion:  0.983
Eye Irritation:  1.0 Respiratory Toxicity:  0.97
Drug-induced Neurotoxicity:  0.059 Ototoxicity:  0.281
Hematotoxicity:  0.379 Drug-induced Nephrotoxicity:  0.454
Genotoxicity:  0.019 RPMI-8226 Immunitoxicity:  0.015
A549 Cytotoxicity:  0.204 Hek293 Cytotoxicity:  0.791
BCF:   2.536
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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:   4.038
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.787
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.696
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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
NPO48028 Muricea sp. Genus Plexauridae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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 NPC493040 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
0.7674 Intermediate Similarity NPC103822
0.7317 Intermediate Similarity NPC114891
0.7209 Intermediate Similarity NPC320549
0.7209 Intermediate Similarity NPC156277
0.7209 Intermediate Similarity NPC58057
0.7209 Intermediate Similarity NPC151018
0.7045 Intermediate Similarity NPC71460
0.7045 Intermediate Similarity NPC218585
0.6889 Remote Similarity NPC148174
0.6739 Remote Similarity NPC254340
0.6531 Remote Similarity NPC167702
0.6531 Remote Similarity NPC192456
0.6531 Remote Similarity NPC280026
0.6364 Remote Similarity NPC281540
0.6364 Remote Similarity NPC159654
0.6364 Remote Similarity NPC167995
0.6364 Remote Similarity NPC118937
0.617 Remote Similarity NPC327728
0.617 Remote Similarity NPC6120
0.617 Remote Similarity NPC131892
0.617 Remote Similarity NPC213178
0.5818 Remote Similarity NPC323180
0.5517 Remote Similarity NPC320478
0.5273 Remote Similarity NPC477818
0.5172 Remote Similarity NPC155924
0.5172 Remote Similarity NPC248944
0.5172 Remote Similarity NPC7479
0.5172 Remote Similarity NPC257296
0.5091 Remote Similarity NPC4209
0.5082 Remote Similarity NPC481427

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC493040 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
0.7209 Intermediate Similarity NPD4808 Phase 2
0.7209 Intermediate Similarity NPD4809 Phase 4
0.6531 Remote Similarity NPD6113 Clinical (unspecified phase)
0.617 Remote Similarity NPD3699 Clinical (unspecified phase)
0.617 Remote Similarity NPD3700 Clinical (unspecified phase)
0.5714 Remote Similarity NPD4787 Phase 1
0.5686 Remote Similarity NPD3671 Phase 1
0.5172 Remote Similarity NPD6928 Phase 2
0.5091 Remote Similarity NPD6117 Phase 4

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