Natural Product: NPC216037

Natural Product IDNPC216037
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
GOTSIHVHBCEBJP-CBBBAJFRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 56601862
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 GOTSIHVHBCEBJP-CBBBAJFRSA-N
Standard InCHI InChI=1S/C47H76O18/c1-42(2)12-13-47(20-50)21(15-42)30-22(51)14-27-44(5)10-9-29(43(3,4)26(44)8-11-45(27,6)46(30,7)16-28(47)52)64-41-38(65-40-37(59)35(57)32(54)24(18-49)62-40)33(55)25(19-60-41)63-39-36(58)34(56)31(53)23(17-48)61-39/h20-21,23-41,48-49,52-59H,8-19H2,1-7H3/t21-,23+,24+,25-,26-,27+,28+,29-,30-,31+,32+,33-,34-,35-,36+,37+,38+,39-,40-,41-,44-,45+,46+,47+/m0/s1
SMILES CC1(C)CC[C@@]2(C=O)[C@@H](C1)[C@H]1C(=O)C[C@@H]3[C@@]4(C)CC[C@@H](C(C)(C)[C@@H]4CC[C@@]3(C)[C@]1(C)C[C@H]2O)O[C@H]1[C@@H]([C@H]([C@H](CO1)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   928.5 Volume:   905.967
?
Van der Waals volume.
Dense:   1.025 LogP:   0.372
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.349
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.47
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   46.0
TPSA:   291.82
?
Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   10.0 Rings:   8.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.105 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.478 Fsp3:   0.957
MCE-18:   175.304
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.885 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.001
?
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:   0.181 Promiscuous compounds:   0.058

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.266 MDCK Permeability:   -5.149
Pgp-inhibitor:   0.0 Pgp-substrate:   0.06
PAMPA:   1.0
?
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):   0.271
20% Bioavailability (F20%):   0.706 30% Bioavailability (F30%):   0.994
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.391 MRP1:   0.031
Plasma Protein Binding (PPB):   66.687% Volume Distribution (VD):   -0.454
Fu: 26.82%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.007
BSEP inhibitor:   0.002

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.023 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.192 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.33
HLM stability:   0.001
?
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):  0.131 Half-life (T1/2):  2.757

ADMET: Toxicity

hERG Blockers:  0.002 hERG Blockers (10um):  0.004
Human Hepatotoxicity (H-HT):  0.708 Drug-induced Liver Injury (DILI):  0.923
AMES Toxicity:  0.996 Rat Oral Acute Toxicity:  0.008
Maximum Recommended Daily Dose:  0.002 Skin Sensitization:  1.0
Carcinogencity:  0.367 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.004
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.999
Hematotoxicity:  0.965 Drug-induced Nephrotoxicity:  0.997
Genotoxicity:  0.934 RPMI-8226 Immunitoxicity:  0.365
A549 Cytotoxicity:  0.983 Hek293 Cytotoxicity:  0.777
BCF:   0.631
?
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:   3.348
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.91
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.02
?
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
NPO21278 Lysimachia clethroides Species Primulaceae Eukaryota n.a. aerial part n.a. PMID[21928797]
NPO21278 Lysimachia clethroides Species Primulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21278 Lysimachia clethroides Species Primulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO21278 Lysimachia clethroides Species Primulaceae 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

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 NPC216037 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
0.5962 Remote Similarity NPC18724
0.5849 Remote Similarity NPC158051
0.5463 Remote Similarity NPC224003
0.5398 Remote Similarity NPC253611
0.5398 Remote Similarity NPC488782
0.5351 Remote Similarity NPC77717
0.5315 Remote Similarity NPC204392
0.531 Remote Similarity NPC257468
0.5304 Remote Similarity NPC157571
0.5304 Remote Similarity NPC40716
0.5259 Remote Similarity NPC184805
0.5254 Remote Similarity NPC209798
0.5214 Remote Similarity NPC138219
0.5214 Remote Similarity NPC273189
0.5214 Remote Similarity NPC475234
0.5175 Remote Similarity NPC123796
0.5169 Remote Similarity NPC473688
0.5169 Remote Similarity NPC471375
0.513 Remote Similarity NPC471435
0.513 Remote Similarity NPC471434
0.5128 Remote Similarity NPC488564
0.5086 Remote Similarity NPC207693
0.5082 Remote Similarity NPC262567
0.5043 Remote Similarity NPC323359
0.5043 Remote Similarity NPC606145
0.5041 Remote Similarity NPC471425

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC216037 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