Natural Product: NPC471722

Natural Product IDNPC471722
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3Beta,22-Dihydroxylanosta-8,24-Dien-11-One
IUPAC Name (3S,5R,10S,13R,14R,17R)-3-hydroxy-17-[(2S)-3-hydroxy-6-methylhept-5-en-2-yl]-4,4,10,13,14-pentamethyl-1,2,3,5,6,7,12,15,16,17-decahydrocyclopenta[a]phenanthren-11-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3105556
PubChem CID 76321156
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 IJDKSGMUNLLABQ-BSBBLXHDSA-N
Standard InCHI InChI=1S/C30H48O3/c1-18(2)9-11-22(31)19(3)20-13-16-29(7)21-10-12-24-27(4,5)25(33)14-15-28(24,6)26(21)23(32)17-30(20,29)8/h9,19-20,22,24-25,31,33H,10-17H2,1-8H3/t19-,20+,22?,24-,25-,28-,29-,30+/m0/s1
SMILES CC(C1CCC2(C1(CC(=O)C3=C2CCC4C3(CCC(C4(C)C)O)C)C)C)C(CC=C(C)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   456.36 Volume:   511.671
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Van der Waals volume.
Dense:   0.892 LogP:   4.461
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.023
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.032
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   22.0
TPSA:   57.53
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.467 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.922 Fsp3:   0.833
MCE-18:   82.8
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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:   0.629 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:   0.264
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.029
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.31 Promiscuous compounds:   0.02

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.997 MDCK Permeability:   -4.743
Pgp-inhibitor:   0.006 Pgp-substrate:   0.028
PAMPA:   0.872
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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):   0.003
20% Bioavailability (F20%):   0.017 30% Bioavailability (F30%):   0.02
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.21 MRP1:   0.997
Plasma Protein Binding (PPB):   80.757% Volume Distribution (VD):   0.019
Fu: 22.176%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.236
OATP1B3 inhibitor:   0.95 BCRP inhibitor:   0.0
BSEP inhibitor:   0.768

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.007
CYP2C9-inhibitor:   0.174 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.132 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.663 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.013 CYP2C8-inhibitor:   0.705
HLM stability:   0.966
?
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):  13.865 Half-life (T1/2):  0.801

ADMET: Toxicity

hERG Blockers:  0.118 hERG Blockers (10um):  0.556
Human Hepatotoxicity (H-HT):  0.726 Drug-induced Liver Injury (DILI):  0.043
AMES Toxicity:  0.201 Rat Oral Acute Toxicity:  0.236
Maximum Recommended Daily Dose:  0.665 Skin Sensitization:  0.461
Carcinogencity:  0.341 Eye Corrosion:  0.0
Eye Irritation:  0.084 Respiratory Toxicity:  0.276
Drug-induced Neurotoxicity:  0.338 Ototoxicity:  0.931
Hematotoxicity:  0.196 Drug-induced Nephrotoxicity:  0.355
Genotoxicity:  0.021 RPMI-8226 Immunitoxicity:  0.039
A549 Cytotoxicity:  0.172 Hek293 Cytotoxicity:  0.337
BCF:   1.965
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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:   4.557
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.867
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.339
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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
NPO18766 Inonotus obliquus Species Hymenochaetaceae Eukaryota sclerotia n.a. n.a. PMID[17049251]
NPO18766 Inonotus obliquus Species Hymenochaetaceae Eukaryota sclerotia n.a. n.a. PMID[18387711]
NPO18766 Inonotus obliquus Species Hymenochaetaceae Eukaryota n.a. n.a. n.a. PMID[24359303]
NPO18766 Inonotus obliquus Species Hymenochaetaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18766 Inonotus obliquus Species Hymenochaetaceae 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 81.2 % PMID[24359303]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT2 Others Unspecified n.a. Survival = 94.0 % DOI[10.1021/np50072a023]





 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 NPC471722 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
1.0 High Similarity NPC605915
0.7241 Intermediate Similarity NPC275910
0.7143 Intermediate Similarity NPC191684
0.7031 Intermediate Similarity NPC482597
0.6984 Remote Similarity NPC484084
0.6094 Remote Similarity NPC471724
0.5522 Remote Similarity NPC94755
0.5455 Remote Similarity NPC214570
0.5417 Remote Similarity NPC474922
0.5385 Remote Similarity NPC46160
0.5385 Remote Similarity NPC202642
0.5373 Remote Similarity NPC72133
0.5303 Remote Similarity NPC87489
0.5217 Remote Similarity NPC275740
0.5217 Remote Similarity NPC249954
0.5217 Remote Similarity NPC86319
0.507 Remote Similarity NPC486193

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471722 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