Natural Product: NPC173923

Natural Product IDNPC173923
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
GQQJGWLFWUBFAV-CWSUONMZSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101362570
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids
          • [CHEMONTID:0002380] Limonoids

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 GQQJGWLFWUBFAV-CWSUONMZSA-N
Standard InCHI InChI=1S/C30H38O10/c1-15(31)36-20-13-22(33)39-26(3,4)19-12-21(37-16(2)32)29(7)18(28(19,20)6)8-10-27(5)23(17-9-11-35-14-17)38-25(34)24-30(27,29)40-24/h9,11,14,18-21,23-24H,8,10,12-13H2,1-7H3/t18-,19+,20+,21-,23+,24-,27+,28-,29+,30-/m1/s1
SMILES CC(=O)O[C@H]1CC(=O)OC(C)(C)[C@@H]2C[C@H]([C@]3(C)[C@H](CC[C@@]4(C)[C@H](c5ccoc5)OC(=O)[C@@H]5[C@]34O5)[C@@]12C)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   558.25 Volume:   548.181
?
Van der Waals volume.
Dense:   1.018 LogP:   1.465
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.809
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.445
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   33.0
TPSA:   130.87
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   0.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.304 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.734 Fsp3:   0.733
MCE-18:   201.385
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.465 Fluc inhibitor:   0.002
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.003
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.175 Promiscuous compounds:   0.263

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.248 MDCK Permeability:   -4.971
Pgp-inhibitor:   0.998 Pgp-substrate:   0.061
PAMPA:   0.34
?
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%):   0.079 30% Bioavailability (F30%):   0.65
50% Bioavailability (F50%):   0.935

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.005 MRP1:   0.994
Plasma Protein Binding (PPB):   71.491% Volume Distribution (VD):   -0.377
Fu: 29.586%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.252
BSEP inhibitor:   0.992

ADMET: Metabolism

CYP1A2-inhibitor:   0.006 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.993 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.382 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.322
HLM stability:   0.548
?
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):  5.14 Half-life (T1/2):  0.762

ADMET: Toxicity

hERG Blockers:  0.025 hERG Blockers (10um):  0.153
Human Hepatotoxicity (H-HT):  0.455 Drug-induced Liver Injury (DILI):  0.936
AMES Toxicity:  0.469 Rat Oral Acute Toxicity:  0.861
Maximum Recommended Daily Dose:  0.942 Skin Sensitization:  0.971
Carcinogencity:  0.696 Eye Corrosion:  0.013
Eye Irritation:  0.723 Respiratory Toxicity:  0.71
Drug-induced Neurotoxicity:  0.11 Ototoxicity:  0.572
Hematotoxicity:  0.319 Drug-induced Nephrotoxicity:  0.916
Genotoxicity:  0.989 RPMI-8226 Immunitoxicity:  0.15
A549 Cytotoxicity:  0.04 Hek293 Cytotoxicity:  0.021
BCF:   0.641
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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:   3.569
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.556
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.06
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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
NPO10830 Dictamnus dasycarpus Species Rutaceae Eukaryota Root barks n.a. n.a. PMID[11473427]
NPO10830 Dictamnus dasycarpus Species Rutaceae Eukaryota root bark n.a. n.a. PMID[18198838]
NPO7171 Salvia polystachya Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[29135252]
NPO1329 Esenbeckia hartmanii Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5451 Ageratina saltillensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10830 Dictamnus dasycarpus Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7966 Grewia villosa Species Malvaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11119 Salta triflora Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7171 Salvia polystachya Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5799 Streptomyces chryseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO3560 Trifolium montanum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10830 Dictamnus dasycarpus Species Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10830 Dictamnus dasycarpus Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7171 Salvia polystachya Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10830 Dictamnus dasycarpus Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO10830 Dictamnus dasycarpus Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO7966 Grewia villosa Species Malvaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7171 Salvia polystachya Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11119 Salta triflora Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5451 Ageratina saltillensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1329 Esenbeckia hartmanii Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5799 Streptomyces chryseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO3560 Trifolium montanum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10830 Dictamnus dasycarpus Species Rutaceae 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 NPC173923 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
0.7895 Intermediate Similarity NPC237155
0.7532 Intermediate Similarity NPC611370
0.7215 Intermediate Similarity NPC126723
0.7105 Intermediate Similarity NPC602263
0.6923 Remote Similarity NPC134254
0.679 Remote Similarity NPC472653
0.6667 Remote Similarity NPC475381
0.6582 Remote Similarity NPC107646
0.65 Remote Similarity NPC335761
0.642 Remote Similarity NPC302369
0.6341 Remote Similarity NPC209364
0.6341 Remote Similarity NPC605015
0.6333 Remote Similarity NPC472652
0.625 Remote Similarity NPC472651
0.6235 Remote Similarity NPC476853
0.6098 Remote Similarity NPC470939
0.6098 Remote Similarity NPC39986
0.5882 Remote Similarity NPC609366
0.5814 Remote Similarity NPC305016
0.5778 Remote Similarity NPC469846
0.5747 Remote Similarity NPC611267
0.5581 Remote Similarity NPC263265
0.5506 Remote Similarity NPC117986
0.5444 Remote Similarity NPC271235
0.5422 Remote Similarity NPC604270
0.5294 Remote Similarity NPC60973
0.5294 Remote Similarity NPC605384
0.5287 Remote Similarity NPC470941
0.5275 Remote Similarity NPC604177
0.5227 Remote Similarity NPC286722
0.5217 Remote Similarity NPC25255
0.5165 Remote Similarity NPC476856
0.5161 Remote Similarity NPC302392
0.5114 Remote Similarity NPC5079
0.5111 Remote Similarity NPC96443
0.5111 Remote Similarity NPC473473
0.5111 Remote Similarity NPC290400
0.5111 Remote Similarity NPC475295
0.5109 Remote Similarity NPC476858

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC173923 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