Natural Product: NPC201682

Natural Product IDNPC201682
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MXEMKMNFLXVQBW-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 619168
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 MXEMKMNFLXVQBW-UHFFFAOYSA-N
Standard InCHI InChI=1S/C30H48O2/c1-25(2)15-17-30(24(31)32)18-16-28(6)20(21(30)19-25)9-10-23-27(5)13-8-12-26(3,4)22(27)11-14-29(23,28)7/h9,21-23H,8,10-19H2,1-7H3,(H,31,32)
SMILES CC1(C)CCC2(CCC3(C)C(=CCC4C5(C)CCCC(C)(C)C5CCC34C)C2C1)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   440.37 Volume:   496.961
?
Van der Waals volume.
Dense:   0.886 LogP:   5.108
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.131
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.856
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   27.0
TPSA:   37.3
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.417 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.495 Fsp3:   0.9
MCE-18:   102.667
?
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:   0.374 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
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.052
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.611 Promiscuous compounds:   0.008

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.04 MDCK Permeability:   -4.843
Pgp-inhibitor:   0.001 Pgp-substrate:   0.0
PAMPA:   0.227
?
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):   0.0
20% Bioavailability (F20%):   0.0 30% Bioavailability (F30%):   0.0
50% Bioavailability (F50%):   0.166

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.993 MRP1:   1.0
Plasma Protein Binding (PPB):   97.545% Volume Distribution (VD):   0.078
Fu: 3.117%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.018
OATP1B3 inhibitor:   0.783 BCRP inhibitor:   0.0
BSEP inhibitor:   0.892

ADMET: Metabolism

CYP1A2-inhibitor:   0.019 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.58
CYP2C9-inhibitor:   0.999 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.047 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.016 CYP3A4-substrate:   0.191
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   0.225
HLM stability:   0.997
?
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):  3.332 Half-life (T1/2):  0.926

ADMET: Toxicity

hERG Blockers:  0.056 hERG Blockers (10um):  0.327
Human Hepatotoxicity (H-HT):  0.434 Drug-induced Liver Injury (DILI):  0.111
AMES Toxicity:  0.023 Rat Oral Acute Toxicity:  0.153
Maximum Recommended Daily Dose:  0.749 Skin Sensitization:  0.41
Carcinogencity:  0.171 Eye Corrosion:  0.042
Eye Irritation:  0.531 Respiratory Toxicity:  0.835
Drug-induced Neurotoxicity:  0.182 Ototoxicity:  0.904
Hematotoxicity:  0.223 Drug-induced Nephrotoxicity:  0.14
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.033
A549 Cytotoxicity:  0.144 Hek293 Cytotoxicity:  0.122
BCF:   1.997
?
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:   5.057
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.382
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.262
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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
NPO8789 Schizonepeta tenuifolia Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8789 Schizonepeta tenuifolia Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8789 Schizonepeta tenuifolia Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8789 Schizonepeta tenuifolia Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8789 Schizonepeta tenuifolia Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO8789 Schizonepeta tenuifolia Species Lamiaceae 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 NPC201682 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 NPC604575
0.7097 Intermediate Similarity NPC480946
0.7097 Intermediate Similarity NPC130577
0.7097 Intermediate Similarity NPC142415
0.7097 Intermediate Similarity NPC102683
0.6984 Remote Similarity NPC270768
0.6984 Remote Similarity NPC59263
0.6984 Remote Similarity NPC210106
0.6875 Remote Similarity NPC158141
0.6774 Remote Similarity NPC280654
0.6769 Remote Similarity NPC200752
0.6769 Remote Similarity NPC120840
0.6769 Remote Similarity NPC298554
0.6719 Remote Similarity NPC84319
0.6719 Remote Similarity NPC52021
0.6719 Remote Similarity NPC599947
0.6615 Remote Similarity NPC231063
0.6615 Remote Similarity NPC282395
0.6615 Remote Similarity NPC110308
0.6462 Remote Similarity NPC282616
0.6462 Remote Similarity NPC275809
0.6462 Remote Similarity NPC37038
0.6462 Remote Similarity NPC156981
0.6377 Remote Similarity NPC96580
0.6364 Remote Similarity NPC106112
0.6364 Remote Similarity NPC261935
0.6364 Remote Similarity NPC481360
0.6232 Remote Similarity NPC296164
0.597 Remote Similarity NPC182797
0.597 Remote Similarity NPC121798
0.597 Remote Similarity NPC234346
0.597 Remote Similarity NPC52169
0.597 Remote Similarity NPC488562
0.5942 Remote Similarity NPC474963
0.5821 Remote Similarity NPC198664
0.5735 Remote Similarity NPC307282
0.5735 Remote Similarity NPC64872
0.5735 Remote Similarity NPC25906
0.5714 Remote Similarity NPC204407
0.5676 Remote Similarity NPC481362
0.5652 Remote Similarity NPC130278
0.5652 Remote Similarity NPC472149
0.5652 Remote Similarity NPC609452
0.5641 Remote Similarity NPC283849
0.5641 Remote Similarity NPC28198
0.5641 Remote Similarity NPC476123
0.5641 Remote Similarity NPC606107
0.5616 Remote Similarity NPC474727
0.5571 Remote Similarity NPC291028
0.55 Remote Similarity NPC286347
0.5441 Remote Similarity NPC267691
0.5432 Remote Similarity NPC100383
0.5429 Remote Similarity NPC88116
0.5417 Remote Similarity NPC130520
0.5366 Remote Similarity NPC43353
0.5362 Remote Similarity NPC474806
0.5362 Remote Similarity NPC133579
0.5352 Remote Similarity NPC228784
0.5352 Remote Similarity NPC324341
0.5352 Remote Similarity NPC601810
0.5301 Remote Similarity NPC294112
0.5301 Remote Similarity NPC284807
0.5301 Remote Similarity NPC473538
0.5286 Remote Similarity NPC32118
0.5278 Remote Similarity NPC201657
0.5238 Remote Similarity NPC191410
0.5217 Remote Similarity NPC274050
0.5217 Remote Similarity NPC162632
0.5211 Remote Similarity NPC271614
0.5176 Remote Similarity NPC475472
0.5176 Remote Similarity NPC475611
0.5143 Remote Similarity NPC187722
0.5139 Remote Similarity NPC145667
0.5139 Remote Similarity NPC477288
0.5135 Remote Similarity NPC324063
0.5135 Remote Similarity NPC222047
0.5135 Remote Similarity NPC488521
0.5116 Remote Similarity NPC22676
0.5116 Remote Similarity NPC270667
0.5116 Remote Similarity NPC164194
0.507 Remote Similarity NPC229281
0.507 Remote Similarity NPC51700
0.507 Remote Similarity NPC88716
0.507 Remote Similarity NPC306541
0.507 Remote Similarity NPC68160
0.507 Remote Similarity NPC606443
0.5065 Remote Similarity NPC188833
0.5057 Remote Similarity NPC198621
0.5057 Remote Similarity NPC216940

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC201682 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