Natural Product: NPC37879

Natural Product IDNPC37879
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XFSBVAOIAHNAPC-YQFRWWQMSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 54742366
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0003788] Aconitane-type diterpenoid alkaloids

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 XFSBVAOIAHNAPC-YQFRWWQMSA-N
Standard InCHI InChI=1S/C34H47NO11/c1-7-35-15-31(16-41-3)20(37)13-21(42-4)33-19-14-32(40)28(45-30(39)18-11-9-8-10-12-18)22(19)34(46-17(2)36,27(38)29(32)44-6)23(26(33)35)24(43-5)25(31)33/h8-12,19-29,37-38,40H,7,13-16H2,1-6H3/t19?,20-,21+,22?,23+,24?,25?,26-,27+,28?,29-,31+,32-,33+,34-/m1/s1
SMILES CCN1C[C@]2(COC)[C@@H](C[C@@H]([C@@]34C5C[C@]6(C(C5[C@@]([C@@H](C(C23)OC)[C@@H]14)([C@H]([C@H]6OC)O)OC(=O)C)OC(=O)c1ccccc1)O)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   645.31 Volume:   631.232
?
Van der Waals volume.
Dense:   1.022 LogP:   1.367
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.811
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.884
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   32.0
TPSA:   153.45
?
Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   3.0 Rings:   7.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.323 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.257 Fsp3:   0.765
MCE-18:   220.8
?
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:   0.031 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.005
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.006
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.002 Promiscuous compounds:   0.149

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.65 MDCK Permeability:   -5.152
Pgp-inhibitor:   0.089 Pgp-substrate:   0.991
PAMPA:   0.967
?
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):   0.006
20% Bioavailability (F20%):   0.03 30% Bioavailability (F30%):   0.062
50% Bioavailability (F50%):   0.928

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.971
Plasma Protein Binding (PPB):   47.784% Volume Distribution (VD):   0.025
Fu: 56.971%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.961
OATP1B3 inhibitor:   0.874 BCRP inhibitor:   0.005
BSEP inhibitor:   0.777

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.915 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.998 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.4
HLM stability:   0.075
?
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):  8.347 Half-life (T1/2):  2.843

ADMET: Toxicity

hERG Blockers:  0.064 hERG Blockers (10um):  0.687
Human Hepatotoxicity (H-HT):  0.143 Drug-induced Liver Injury (DILI):  0.027
AMES Toxicity:  0.202 Rat Oral Acute Toxicity:  0.493
Maximum Recommended Daily Dose:  0.612 Skin Sensitization:  0.551
Carcinogencity:  0.244 Eye Corrosion:  0.0
Eye Irritation:  0.028 Respiratory Toxicity:  0.819
Drug-induced Neurotoxicity:  0.146 Ototoxicity:  0.924
Hematotoxicity:  0.068 Drug-induced Nephrotoxicity:  0.729
Genotoxicity:  0.183 RPMI-8226 Immunitoxicity:  0.094
A549 Cytotoxicity:  0.006 Hek293 Cytotoxicity:  0.178
BCF:   0.436
?
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:   3.265
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.043
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.965
?
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
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. tuber n.a. PMID[12913245]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. n.a. n.a. PMID[1293938]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. n.a. n.a. PMID[16181762]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. root n.a. PMID[22223386]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota Lateral roots n.a. n.a. PMID[22607495]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. root n.a. PMID[22628040]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. root n.a. PMID[22907155]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. root n.a. PMID[23225552]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. n.a. n.a. PMID[23707213]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. root n.a. PMID[23707213]
NPO23440 Aconitum napellus Species Ranunculaceae Eukaryota n.a. n.a. n.a. PMID[23876370]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. PMID[24170571]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. root n.a. PMID[24170571]
NPO2245 Aconitum brachypodum Species Ranunculaceae Eukaryota n.a. n.a. n.a. PMID[24791539]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. n.a. n.a. PMID[24793215]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. root n.a. PMID[27761113]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. root n.a. Europe PMC[300080]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Europe PMC[300080]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota Roots n.a. n.a. PMID[30892884]
NPO2245 Aconitum brachypodum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23440 Aconitum napellus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16160 Radix aconiti Species Lymnaeidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29861 Aconitum carmichaeli Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29861 Aconitum carmichaeli Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2245 Aconitum brachypodum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23440 Aconitum napellus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16784 Radix aconiti lateralis preparata Species Lymnaeidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23440 Aconitum napellus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16160 Radix aconiti Species Lymnaeidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19182 Radix aconiti lateralis praeparata Species Lymnaeidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2245 Aconitum brachypodum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14886 Radix aconiti kusnezoffii Species Lymnaeidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2245 Aconitum brachypodum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23440 Aconitum napellus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO29861 Aconitum carmichaeli Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO4902 Aconitum carmichaelii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2245 Aconitum brachypodum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23440 Aconitum napellus Species Ranunculaceae 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 NPC37879 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 NPC298772
1.0 High Similarity NPC108276
1.0 High Similarity NPC163578
0.9136 High Similarity NPC478540
0.9024 High Similarity NPC184195
0.9024 High Similarity NPC205
0.8837 High Similarity NPC94687
0.8506 High Similarity NPC478538
0.8118 Intermediate Similarity NPC488583
0.8118 Intermediate Similarity NPC478535
0.8095 Intermediate Similarity NPC166521
0.8068 Intermediate Similarity NPC476495
0.8046 Intermediate Similarity NPC172769
0.7667 Intermediate Similarity NPC478539
0.7333 Intermediate Similarity NPC488604
0.7333 Intermediate Similarity NPC281470
0.7303 Intermediate Similarity NPC478541
0.7128 Intermediate Similarity NPC476496
0.7053 Intermediate Similarity NPC106840
0.6848 Remote Similarity NPC124690
0.6842 Remote Similarity NPC478537
0.6735 Remote Similarity NPC479698
0.6559 Remote Similarity NPC478534
0.6458 Remote Similarity NPC478536
0.617 Remote Similarity NPC478545
0.6042 Remote Similarity NPC488589
0.5918 Remote Similarity NPC478533
0.5758 Remote Similarity NPC40539
0.5588 Remote Similarity NPC249360
0.5534 Remote Similarity NPC326895

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC37879 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