Natural Product: NPC471720

Natural Product IDNPC471720
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(17Alpha,21Alpha,23Alpha)-24-Methyl-3Beta-Hydroxy-5Alpha-Lanosta-8,24-Diene-21,23-Lactone
IUPAC Name (3R,5S)-3-[(3S,5R,10S,13R,14R,17R)-3-hydroxy-4,4,10,13,14-pentamethyl-2,3,5,6,7,11,12,15,16,17-decahydro-1H-cyclopenta[a]phenanthren-17-yl]-5-(3-methylbut-2-en-2-yl)oxolan-2-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3105554
PubChem CID 76321155
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 QNIOIQFWRJSVOW-HYPRSTRGSA-N
Standard InCHI InChI=1S/C31H48O3/c1-18(2)19(3)24-17-20(27(33)34-24)21-11-15-31(8)23-9-10-25-28(4,5)26(32)13-14-29(25,6)22(23)12-16-30(21,31)7/h20-21,24-26,32H,9-17H2,1-8H3/t20-,21-,24+,25+,26+,29-,30-,31+/m1/s1
SMILES CC(=C(C)C1CC(C(=O)O1)C2CCC3(C2(CCC4=C3CCC5C4(CCC(C5(C)C)O)C)C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   468.36 Volume:   520.411
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Van der Waals volume.
Dense:   0.9 LogP:   4.584
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.061
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.653
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   27.0
TPSA:   46.53
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.339 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.016 Fsp3:   0.839
MCE-18:   97.368
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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:   0.803 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:   0.066
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.075
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.251 Promiscuous compounds:   0.001

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.862 MDCK Permeability:   -4.708
Pgp-inhibitor:   0.27 Pgp-substrate:   0.207
PAMPA:   0.322
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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%):   0.016 30% Bioavailability (F30%):   0.028
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.859 MRP1:   0.999
Plasma Protein Binding (PPB):   89.035% Volume Distribution (VD):   0.082
Fu: 10.448%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.442
OATP1B3 inhibitor:   0.975 BCRP inhibitor:   0.012
BSEP inhibitor:   0.805

ADMET: Metabolism

CYP1A2-inhibitor:   0.675 CYP1A2-substrate:   0.012
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.96 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.31 CYP2D6-substrate:   0.291
CYP3A4-inhibitor:   0.988 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.999 CYP2C8-inhibitor:   0.877
HLM stability:   0.998
?
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):  12.73 Half-life (T1/2):  1.047

ADMET: Toxicity

hERG Blockers:  0.102 hERG Blockers (10um):  0.531
Human Hepatotoxicity (H-HT):  0.588 Drug-induced Liver Injury (DILI):  0.255
AMES Toxicity:  0.062 Rat Oral Acute Toxicity:  0.118
Maximum Recommended Daily Dose:  0.77 Skin Sensitization:  0.53
Carcinogencity:  0.279 Eye Corrosion:  0.0
Eye Irritation:  0.087 Respiratory Toxicity:  0.225
Drug-induced Neurotoxicity:  0.442 Ototoxicity:  0.888
Hematotoxicity:  0.109 Drug-induced Nephrotoxicity:  0.256
Genotoxicity:  0.025 RPMI-8226 Immunitoxicity:  0.023
A549 Cytotoxicity:  0.154 Hek293 Cytotoxicity:  0.273
BCF:   2.144
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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:   4.959
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.27
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.067
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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 = 71.9 % 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 = 91.0 % DrugMatrix in vivo data: Biochemistry





 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 NPC471720 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
0.6719 Remote Similarity NPC20388
0.6515 Remote Similarity NPC486187
0.6364 Remote Similarity NPC486193
0.6094 Remote Similarity NPC132635
0.6094 Remote Similarity NPC601223
0.6 Remote Similarity NPC471724
0.5909 Remote Similarity NPC94755
0.5873 Remote Similarity NPC118508
0.5873 Remote Similarity NPC484086
0.5821 Remote Similarity NPC308041
0.5821 Remote Similarity NPC16350
0.5781 Remote Similarity NPC275910
0.5781 Remote Similarity NPC46160
0.5781 Remote Similarity NPC202642
0.5692 Remote Similarity NPC231477
0.5692 Remote Similarity NPC87489
0.5692 Remote Similarity NPC123724
0.5692 Remote Similarity NPC73875
0.5606 Remote Similarity NPC214570
0.525 Remote Similarity NPC195708
0.52 Remote Similarity NPC486185
0.5185 Remote Similarity NPC265655
0.5139 Remote Similarity NPC486197
0.5067 Remote Similarity NPC11903
0.506 Remote Similarity NPC292196
0.506 Remote Similarity NPC129340
0.506 Remote Similarity NPC220293

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471720 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