Natural Product: NPC89521

Natural Product IDNPC89521
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 KDGYLZNIUHEJCM-VFNNOXKTSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 11384492
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0001831] Carbonyl compounds
          • [CHEMONTID:0000118] Ketones
            • [CHEMONTID:0003670] Aryl ketones
              • [CHEMONTID:0004296] Phenylketones
                • [CHEMONTID:0004298] Alkyl-phenylketones

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 KDGYLZNIUHEJCM-VFNNOXKTSA-N
Standard InCHI InChI=1S/C23H28O7/c1-8-9-15-10-17(25-3)23(18(11-15)26-4)30-14(2)21(24)16-12-19(27-5)22(29-7)20(13-16)28-6/h8-14H,1-7H3/b9-8+/t14-/m0/s1
SMILES C/C=C/c1cc(c(c(c1)OC)O[C@@H](C)C(=O)c1cc(c(c(c1)OC)OC)OC)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   416.18 Volume:   429.691
?
Van der Waals volume.
Dense:   0.969 LogP:   2.919
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.23
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -4.132
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   14.0
TPSA:   72.45
?
Topological Polar Surface Area.
 H-Bond Acceptor:   7.0
H-Bond Donor:   0.0 Rings:   2.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.531 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.821 Fsp3:   0.348
MCE-18:   32.0
?
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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.051 Fluc inhibitor:   0.764
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.365
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.517
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.512 Promiscuous compounds:   0.057

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.848 MDCK Permeability:   -4.694
Pgp-inhibitor:   0.818 Pgp-substrate:   0.189
PAMPA:   0.003
?
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%):   0.025 30% Bioavailability (F30%):   0.008
50% Bioavailability (F50%):   0.612

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.458 MRP1:   0.998
Plasma Protein Binding (PPB):   95.354% Volume Distribution (VD):   -0.022
Fu: 3.465%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.989
OATP1B3 inhibitor:   0.975 BCRP inhibitor:   0.474
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.422 CYP1A2-substrate:   0.987
CYP2C19-inhibitor:   0.998 CYP2C19-substrate:   0.982
CYP2C9-inhibitor:   0.031 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.065 CYP2D6-substrate:   0.965
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.998
CYP2B6-substrate:   0.005 CYP2C8-inhibitor:   1.0
HLM stability:   0.941
?
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):  6.347 Half-life (T1/2):  0.887

ADMET: Toxicity

hERG Blockers:  0.256 hERG Blockers (10um):  0.59
Human Hepatotoxicity (H-HT):  0.666 Drug-induced Liver Injury (DILI):  0.664
AMES Toxicity:  0.307 Rat Oral Acute Toxicity:  0.344
Maximum Recommended Daily Dose:  0.639 Skin Sensitization:  0.767
Carcinogencity:  0.632 Eye Corrosion:  0.014
Eye Irritation:  0.42 Respiratory Toxicity:  0.527
Drug-induced Neurotoxicity:  0.794 Ototoxicity:  0.429
Hematotoxicity:  0.517 Drug-induced Nephrotoxicity:  0.623
Genotoxicity:  0.24 RPMI-8226 Immunitoxicity:  0.266
A549 Cytotoxicity:  0.268 Hek293 Cytotoxicity:  0.51
BCF:   1.958
?
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:   3.882
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.033
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   5.965
?
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
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. PMID[10924192]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. PMID[11754613]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. root n.a. PMID[14750033]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. PMID[15482936]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota roots n.a. n.a. PMID[18841903]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota Roots n.a. n.a. PMID[24359277]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota Aerial Parts n.a. n.a. PMID[24387347]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. PMID[31642320]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20323 Saururus chinensis Species Saururaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO20323 Saururus chinensis Species Saururaceae 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
NPT113 Cell line RAW264.7 Mus musculus IC50 = 14000.0 nM PMID[31642320]

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 NPC89521 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
0.7907 Intermediate Similarity NPC294972
0.6591 Remote Similarity NPC28326
0.6531 Remote Similarity NPC485479
0.6389 Remote Similarity NPC203924
0.5778 Remote Similarity NPC601172
0.5532 Remote Similarity NPC218856
0.5532 Remote Similarity NPC210623
0.5532 Remote Similarity NPC226788
0.551 Remote Similarity NPC79184
0.5306 Remote Similarity NPC474119

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC89521 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