Natural Product: NPC145347

Natural Product IDNPC145347
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MNBSBRMQJLTPNQ-MBEZSMKLSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101450424
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0002105] Glycosyl compounds
            • [CHEMONTID:0004165] Phenolic glycosides

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 MNBSBRMQJLTPNQ-MBEZSMKLSA-N
Standard InCHI InChI=1S/C21H26O13/c1-7-14(25)16(27)18(29)20(31-7)34-19-17(28)15(26)12(6-22)33-21(19)32-8-4-10(24)13-9(23)2-3-30-11(13)5-8/h2-5,7,12,14-22,24-29H,6H2,1H3/t7-,12+,14-,15+,16+,17-,18+,19+,20-,21+/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)O[C@@H]1[C@H]([C@@H]([C@@H](CO)O[C@H]1Oc1cc(c2c(=O)ccoc2c1)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   486.14 Volume:   438.637
?
Van der Waals volume.
Dense:   1.108 LogP:   -0.198
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.604
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.292
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   24.0
TPSA:   208.74
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   7.0 Rings:   4.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.234 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.598 Fsp3:   0.571
MCE-18:   97.364
?
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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.638 Fluc inhibitor:   0.128
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.264
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.165
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.261 Promiscuous compounds:   0.348

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.499 MDCK Permeability:   -5.171
Pgp-inhibitor:   0.0 Pgp-substrate:   0.861
PAMPA:   0.999
?
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):   0.999
20% Bioavailability (F20%):   0.73 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.01 MRP1:   0.061
Plasma Protein Binding (PPB):   59.527% Volume Distribution (VD):   -0.456
Fu: 41.169%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.176
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.007
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.009
HLM stability:   0.07
?
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):  1.51 Half-life (T1/2):  4.153

ADMET: Toxicity

hERG Blockers:  0.014 hERG Blockers (10um):  0.076
Human Hepatotoxicity (H-HT):  0.716 Drug-induced Liver Injury (DILI):  0.994
AMES Toxicity:  0.937 Rat Oral Acute Toxicity:  0.027
Maximum Recommended Daily Dose:  0.012 Skin Sensitization:  0.995
Carcinogencity:  0.171 Eye Corrosion:  0.0
Eye Irritation:  0.211 Respiratory Toxicity:  0.017
Drug-induced Neurotoxicity:  0.005 Ototoxicity:  0.975
Hematotoxicity:  0.369 Drug-induced Nephrotoxicity:  0.949
Genotoxicity:  0.929 RPMI-8226 Immunitoxicity:  0.276
A549 Cytotoxicity:  0.346 Hek293 Cytotoxicity:  0.241
BCF:   0.27
?
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:   2.62
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.213
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.288
?
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
NPO24093 Drynaria fortunei Species Polypodiaceae Eukaryota n.a. n.a. n.a. PMID[21377852]
NPO24093 Drynaria fortunei Species Polypodiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24093 Drynaria fortunei Species Polypodiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24093 Drynaria fortunei Species Polypodiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24093 Drynaria fortunei Species Polypodiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO24093 Drynaria fortunei Species Polypodiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO24093 Drynaria fortunei Species Polypodiaceae 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 NPC145347 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
0.6941 Remote Similarity NPC65003
0.686 Remote Similarity NPC115674
0.6484 Remote Similarity NPC195257
0.6395 Remote Similarity NPC239549
0.6207 Remote Similarity NPC8856
0.6087 Remote Similarity NPC32641
0.6087 Remote Similarity NPC256188
0.6044 Remote Similarity NPC240306
0.5914 Remote Similarity NPC35119
0.58 Remote Similarity NPC311850
0.5625 Remote Similarity NPC475382
0.5577 Remote Similarity NPC198199
0.5481 Remote Similarity NPC68592
0.5429 Remote Similarity NPC298666
0.5376 Remote Similarity NPC163242
0.5376 Remote Similarity NPC272068
0.5354 Remote Similarity NPC253685
0.5319 Remote Similarity NPC155877
0.5278 Remote Similarity NPC120952
0.5248 Remote Similarity NPC25724
0.5248 Remote Similarity NPC11468
0.5243 Remote Similarity NPC480441
0.5243 Remote Similarity NPC25523
0.5222 Remote Similarity NPC80188
0.5195 Remote Similarity NPC607702
0.5181 Remote Similarity NPC134819
0.5149 Remote Similarity NPC14187
0.5143 Remote Similarity NPC255799
0.5104 Remote Similarity NPC122809
0.5104 Remote Similarity NPC470444
0.5096 Remote Similarity NPC473644
0.506 Remote Similarity NPC191154
0.5057 Remote Similarity NPC160515
0.5045 Remote Similarity NPC262222

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC145347 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