Natural Product: NPC231310

Natural Product IDNPC231310
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Lanosta-7:9(11),23E-Triene-3Beta,22R,25-Triol
IUPAC Name (E,5R,6S)-6-[(3S,5R,10S,13R,14R,17R)-3-hydroxy-4,4,10,13,14-pentamethyl-2,3,5,6,12,15,16,17-octahydro-1H-cyclopenta[a]phenanthren-17-yl]-2-methylhept-3-ene-2,5-diol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL458861
PubChem CID 44581567
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 ODDPCFPKYKNPDA-IBDCHPIJSA-N
Standard InCHI InChI=1S/C30H48O3/c1-19(23(31)13-15-26(2,3)33)20-11-17-30(8)22-9-10-24-27(4,5)25(32)14-16-28(24,6)21(22)12-18-29(20,30)7/h9,12-13,15,19-20,23-25,31-33H,10-11,14,16-18H2,1-8H3/b15-13+/t19-,20+,23+,24-,25-,28+,29+,30-/m0/s1
SMILES C[C@@H]([C@H]1CC[C@@]2(C)C3=CC[C@H]4C(C)(C)[C@H](CC[C@]4(C)C3=CC[C@]12C)O)[C@@H](/C=C/C(C)(C)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   456.36 Volume:   511.671
?
Van der Waals volume.
Dense:   0.892 LogP:   5.09
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.198
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.643
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   21.0
TPSA:   60.69
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   3.0 Rings:   4.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.442 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.127 Fsp3:   0.8
MCE-18:   84.37
?
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:   0.878 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.043
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.413 Promiscuous compounds:   0.144

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.867 MDCK Permeability:   -4.75
Pgp-inhibitor:   0.128 Pgp-substrate:   0.27
PAMPA:   0.819
?
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):   0.016
20% Bioavailability (F20%):   0.986 30% Bioavailability (F30%):   0.994
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.018 MRP1:   0.043
Plasma Protein Binding (PPB):   87.25% Volume Distribution (VD):   -0.102
Fu: 11.838%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.96
BSEP inhibitor:   0.617

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.017
CYP2C19-inhibitor:   0.734 CYP2C19-substrate:   0.019
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.007
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.092
CYP3A4-inhibitor:   0.916 CYP3A4-substrate:   0.99
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.633
?
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):  15.68 Half-life (T1/2):  0.929

ADMET: Toxicity

hERG Blockers:  0.081 hERG Blockers (10um):  0.217
Human Hepatotoxicity (H-HT):  0.588 Drug-induced Liver Injury (DILI):  0.045
AMES Toxicity:  0.37 Rat Oral Acute Toxicity:  0.46
Maximum Recommended Daily Dose:  0.765 Skin Sensitization:  0.867
Carcinogencity:  0.862 Eye Corrosion:  0.001
Eye Irritation:  0.289 Respiratory Toxicity:  0.705
Drug-induced Neurotoxicity:  0.07 Ototoxicity:  0.711
Hematotoxicity:  0.356 Drug-induced Nephrotoxicity:  0.531
Genotoxicity:  0.749 RPMI-8226 Immunitoxicity:  0.178
A549 Cytotoxicity:  0.562 Hek293 Cytotoxicity:  0.713
BCF:   1.578
?
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:   3.87
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.458
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.677
?
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
NPT80 Cell line Raji Homo sapiens Activity = 70.0 % PMID[9868159]
NPT2 Others Unspecified n.a. Activity = 0.0 % PMID[15787442]
NPT2 Others Unspecified n.a. Activity = 67.3 % PMID[20438092]
NPT2 Others Unspecified n.a. Activity = 88.2 % PMID[9392888]
NPT2 Others Unspecified n.a. IC50 = 228.0 molar ratio PMID[25136754]
NPT2 Others Unspecified n.a. Activity = 25.1 % DOI[10.6019/CHEMBL1201861]

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 NPC231310 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
0.6949 Remote Similarity NPC6707
0.678 Remote Similarity NPC205455
0.65 Remote Similarity NPC87489
0.6452 Remote Similarity NPC202389
0.625 Remote Similarity NPC475772
0.6 Remote Similarity NPC484797
0.597 Remote Similarity NPC212948
0.5857 Remote Similarity NPC141401
0.5806 Remote Similarity NPC20853
0.5797 Remote Similarity NPC214697
0.5556 Remote Similarity NPC72507
0.5362 Remote Similarity NPC84271
0.5362 Remote Similarity NPC222845
0.5362 Remote Similarity NPC102414
0.5362 Remote Similarity NPC296577
0.5352 Remote Similarity NPC186810
0.5211 Remote Similarity NPC45324
0.5211 Remote Similarity NPC162001
0.5211 Remote Similarity NPC77168
0.5152 Remote Similarity NPC147568
0.5139 Remote Similarity NPC469406
0.5139 Remote Similarity NPC484975
0.5139 Remote Similarity NPC48647
0.5139 Remote Similarity NPC321301

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC231310 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