Natural Product: NPC476887

Natural Product IDNPC476887
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.
(2R,4aS,6aS,6aS,6bR,8aS,9R,10S,12S,12aS,14bS)-10,12-dihydroxy-2,4a,6a,6b,12a-pentamethyl-9-[[(2R,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxymethyl]-3,4,5,6,6a,7,8,8a,9,10,11,12,13,14b-tetradecahydro-1H-picene-2-carboxylic acid
IUPAC Name (2R,4aS,6aS,6aS,6bR,8aS,9R,10S,12S,12aS,14bS)-10,12-dihydroxy-2,4a,6a,6b,12a-pentamethyl-9-[[(2R,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxymethyl]-3,4,5,6,6a,7,8,8a,9,10,11,12,13,14b-tetradecahydro-1H-picene-2-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 45268132
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 DCZZMOKZJIBKQP-DBQYPUSDSA-N
Standard InCHI InChI=1S/C35H56O9/c1-18-26(38)27(39)28(40)29(44-18)43-17-19-20-9-10-34(5)24(35(20,6)25(37)15-23(19)36)8-7-21-22-16-32(3,30(41)42)12-11-31(22,2)13-14-33(21,34)4/h7,18-20,22-29,36-40H,8-17H2,1-6H3,(H,41,42)/t18-,19-,20-,22+,23-,24-,25-,26-,27+,28+,29+,31+,32+,33+,34+,35-/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)OC[C@H]2[C@@H]3CC[C@@]4([C@@H]([C@]3([C@H](C[C@@H]2O)O)C)CC=C5[C@]4(CC[C@@]6([C@@H]5C[C@](CC6)(C)C(=O)O)C)C)C)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   620.39 Volume:   636.416
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Van der Waals volume.
Dense:   0.975 LogP:   2.9
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.106
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.669
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   33.0
TPSA:   156.91
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   6.0 Rings:   6.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.258 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.576 Fsp3:   0.914
MCE-18:   126.328
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.798 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:   0.032
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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:   0.184 Promiscuous compounds:   0.142

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.615 MDCK Permeability:   -5.136
Pgp-inhibitor:   0.0 Pgp-substrate:   0.078
PAMPA:   1.0
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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%):   0.586 30% Bioavailability (F30%):   0.297
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.568 MRP1:   0.727
Plasma Protein Binding (PPB):   83.34% Volume Distribution (VD):   -0.491
Fu: 12.338%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.935 BCRP inhibitor:   0.208
BSEP inhibitor:   0.022

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.839 CYP3A4-substrate:   0.92
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.572
HLM stability:   0.0
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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):  1.134 Half-life (T1/2):  3.352

ADMET: Toxicity

hERG Blockers:  0.044 hERG Blockers (10um):  0.088
Human Hepatotoxicity (H-HT):  0.636 Drug-induced Liver Injury (DILI):  0.612
AMES Toxicity:  0.199 Rat Oral Acute Toxicity:  0.141
Maximum Recommended Daily Dose:  0.266 Skin Sensitization:  0.957
Carcinogencity:  0.621 Eye Corrosion:  0.0
Eye Irritation:  0.017 Respiratory Toxicity:  0.485
Drug-induced Neurotoxicity:  0.006 Ototoxicity:  0.926
Hematotoxicity:  0.221 Drug-induced Nephrotoxicity:  0.887
Genotoxicity:  0.306 RPMI-8226 Immunitoxicity:  0.091
A549 Cytotoxicity:  0.148 Hek293 Cytotoxicity:  0.259
BCF:   0.873
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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:   3.617
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.259
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.392
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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
NPO33642 Combretum sundaicum Species Combretaceae Eukaryota leaves, flowers Bac Son, Lang Son Province, Vietnam 1997-JUL PMID[19572612]
NPO33642 Combretum sundaicum Species Combretaceae Eukaryota leaves Bac Son, Lang Son Province, Vietnam 1997-JUL PMID[19572612]
NPO33642 Combretum sundaicum Species Combretaceae Eukaryota flowers Bac Son, Lang Son Province, Vietnam 1997-JUL PMID[19572612]

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
NPT2796 Individual protein Apoptosis regulator Bcl-X Homo sapiens Ki > 100000 nM PMID[19572612]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT91 Cell line KB Homo sapiens IC50 = 11600 nM PMID[19572612]
NPT83 Cell line MCF7 Homo sapiens IC50 = 24700 nM PMID[19572612]
NPT393 Cell line HCT-116 Homo sapiens IC50 = 32700 nM PMID[19572612]

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 NPC476887 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
0.6989 Remote Similarity NPC476886
0.6562 Remote Similarity NPC476881
0.6526 Remote Similarity NPC476882
0.6 Remote Similarity NPC476880
0.5761 Remote Similarity NPC476878
0.5714 Remote Similarity NPC171203
0.5714 Remote Similarity NPC307426
0.5714 Remote Similarity NPC98442
0.5714 Remote Similarity NPC242468
0.5534 Remote Similarity NPC482751
0.549 Remote Similarity NPC309780
0.5455 Remote Similarity NPC474529
0.5341 Remote Similarity NPC263393
0.5288 Remote Similarity NPC482748
0.5227 Remote Similarity NPC155120
0.5227 Remote Similarity NPC288833

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC476887 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