Natural Product: NPC501977

Natural Product IDNPC501977
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2S,3S,4S,5R,6S)-6-{[2-(3,4-dihydroxyphenyl)-5,6-dihydroxy-4-oxo-4H-chromen-7-yl]oxy}-3,4,5-trihydroxyoxane-2-carboxylic acid
IUPAC Name (2~{S},3~{S},4~{S},5~{R},6~{S})-6-[2-(3,4-dihydroxyphenyl)-5,6-dihydroxy-4-oxo-chromen-7-yl]oxy-3,4,5-trihydroxy-tetrahydropyran-2-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 OEMKKZWJXLXULA-ZFORQUDYSA-N
Standard InCHI InChI=1S/C21H18O13/c22-7-2-1-6(3-8(7)23)10-4-9(24)13-11(32-10)5-12(14(25)15(13)26)33-21-18(29)16(27)17(28)19(34-21)20(30)31/h1-5,16-19,21-23,25-29H,(H,30,31)/t16-,17-,18+,19-,21+/m0/s1
SMILES O=C(O)[C@H]1O[C@@H](OC2=CC3=C(C(O)=C2O)C(=O)C=C(C2=CC=C(O)C(O)=C2)O3)[C@H](O)[C@@H](O)[C@@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   478.07 Volume:   428.091
?
Van der Waals volume.
Dense:   1.117 LogP:   0.584
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.964
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.778
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   25.0
TPSA:   227.58
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Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   8.0 Rings:   4.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.223 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.11 Fsp3:   0.238
MCE-18:   94.769
?
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:   1 PAINS Alert:   1
Colloidal aggregators:   0.474 Fluc inhibitor:   0.319
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.969
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.871
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.321 Promiscuous compounds:   0.553

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.807 MDCK Permeability:   -5.021
Pgp-inhibitor:   0.0 Pgp-substrate:   0.189
PAMPA:   1.0
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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):   0.108
20% Bioavailability (F20%):   0.862 30% Bioavailability (F30%):   0.974
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.968
Plasma Protein Binding (PPB):   81.338% Volume Distribution (VD):   0.012
Fu: 14.476%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.046
OATP1B3 inhibitor:   0.146 BCRP inhibitor:   0.264
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.008
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.298
HLM stability:   0.004
?
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):  2.004 Half-life (T1/2):  4.137

ADMET: Toxicity

hERG Blockers:  0.006 hERG Blockers (10um):  0.069
Human Hepatotoxicity (H-HT):  0.335 Drug-induced Liver Injury (DILI):  0.941
AMES Toxicity:  0.526 Rat Oral Acute Toxicity:  0.091
Maximum Recommended Daily Dose:  0.122 Skin Sensitization:  0.996
Carcinogencity:  0.028 Eye Corrosion:  0.0
Eye Irritation:  0.889 Respiratory Toxicity:  0.05
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.739
Hematotoxicity:  0.051 Drug-induced Nephrotoxicity:  0.287
Genotoxicity:  0.891 RPMI-8226 Immunitoxicity:  0.059
A549 Cytotoxicity:  0.487 Hek293 Cytotoxicity:  0.106
BCF:   0.22
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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:   2.75
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.156
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.476
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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
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[10096857]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[23507152]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[33321838]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[36432812]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[36840093]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[36987013]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[37176852]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[37751472]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[37836118]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[37836125]
NPO9627 Plantago maritima Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Stem n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Shoot n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Root n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Leaf Essent. Oil n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9627 Plantago maritima Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6098 Salvia officinalis 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 NPC501977 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
0.8904 High Similarity NPC43211
0.8514 High Similarity NPC237435
0.8158 Intermediate Similarity NPC115760
0.7792 Intermediate Similarity NPC20505
0.6914 Remote Similarity NPC135277
0.6914 Remote Similarity NPC282169
0.6875 Remote Similarity NPC58716
0.6588 Remote Similarity NPC600989
0.6429 Remote Similarity NPC608742
0.6338 Remote Similarity NPC162313
0.6118 Remote Similarity NPC210094
0.5952 Remote Similarity NPC146792
0.5934 Remote Similarity NPC3583
0.593 Remote Similarity NPC235260
0.593 Remote Similarity NPC155763
0.5814 Remote Similarity NPC101191
0.5773 Remote Similarity NPC253685
0.5747 Remote Similarity NPC49344
0.5647 Remote Similarity NPC45618
0.5361 Remote Similarity NPC229409
0.5341 Remote Similarity NPC245014
0.5333 Remote Similarity NPC198826
0.5287 Remote Similarity NPC19709
0.5281 Remote Similarity NPC138927
0.5269 Remote Similarity NPC107987
0.5227 Remote Similarity NPC189142
0.5227 Remote Similarity NPC77660
0.5195 Remote Similarity NPC212678
0.5169 Remote Similarity NPC45638
0.5111 Remote Similarity NPC201292

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC501977 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
0.8514 High Similarity NPD4338 Clinical (unspecified phase)

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