Natural Product: NPC99957

Natural Product IDNPC99957
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5-Hydroxy-6-Methoxy-2-Methylchromone-7-O-Rutinoside
IUPAC Name 5-hydroxy-6-methoxy-2-methyl-7-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-[[(2R,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxymethyl]oxan-2-yl]oxychromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL564024
PubChem CID 44139362
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 SBMOEJYIIKODKJ-JVBHFNPYSA-N
Standard InCHI InChI=1S/C23H30O14/c1-7-4-9(24)13-10(34-7)5-11(21(32-3)16(13)27)36-23-20(31)18(29)15(26)12(37-23)6-33-22-19(30)17(28)14(25)8(2)35-22/h4-5,8,12,14-15,17-20,22-23,25-31H,6H2,1-3H3/t8-,12+,14-,15+,17+,18-,19+,20+,22+,23+/m0/s1
SMILES Cc1cc(=O)c2c(cc(c(c2O)OC)O[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO[C@H]3[C@@H]([C@@H]([C@H]([C@H](C)O3)O)O)O)O2)O)O)O)o1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   530.16 Volume:   482.019
?
Van der Waals volume.
Dense:   1.1 LogP:   -0.71
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.487
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.095
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   24.0
TPSA:   217.97
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   7.0 Rings:   4.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.212 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.682 Fsp3:   0.609
MCE-18:   102.676
?
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:   1 PAINS Alert:   0
Colloidal aggregators:   0.542 Fluc inhibitor:   0.036
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.167
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.239
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.036 Promiscuous compounds:   0.216

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.223 MDCK Permeability:   -5.317
Pgp-inhibitor:   0.002 Pgp-substrate:   0.803
PAMPA:   0.995
?
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):   0.067
20% Bioavailability (F20%):   0.064 30% Bioavailability (F30%):   0.706
50% Bioavailability (F50%):   0.947

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.005 MRP1:   0.876
Plasma Protein Binding (PPB):   76.16% Volume Distribution (VD):   -0.318
Fu: 23.676%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.003
BSEP inhibitor:   0.07

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.002
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.058
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):  1.391 Half-life (T1/2):  3.923

ADMET: Toxicity

hERG Blockers:  0.02 hERG Blockers (10um):  0.151
Human Hepatotoxicity (H-HT):  0.38 Drug-induced Liver Injury (DILI):  0.76
AMES Toxicity:  0.862 Rat Oral Acute Toxicity:  0.014
Maximum Recommended Daily Dose:  0.022 Skin Sensitization:  0.932
Carcinogencity:  0.043 Eye Corrosion:  0.0
Eye Irritation:  0.142 Respiratory Toxicity:  0.006
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.939
Hematotoxicity:  0.169 Drug-induced Nephrotoxicity:  0.439
Genotoxicity:  0.366 RPMI-8226 Immunitoxicity:  0.194
A549 Cytotoxicity:  0.143 Hek293 Cytotoxicity:  0.211
BCF:   0.148
?
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:   2.738
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.267
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.425
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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
NPO27978 Crossosoma bigelovii Species Crossosomataceae Eukaryota n.a. twig n.a. DOI[10.1021/np8006342]
NPO27978 Crossosoma bigelovii Species Crossosomataceae Eukaryota n.a. fruit n.a. DOI[10.1021/np8006342]
NPO27978 Crossosoma bigelovii Species Crossosomataceae Eukaryota n.a. leaf n.a. DOI[10.1021/np8006342]
NPO27978 Crossosoma bigelovii Species Crossosomataceae Eukaryota n.a. flower n.a. DOI[10.1021/np8006342]
NPO27978 Crossosoma bigelovii Species Crossosomataceae Eukaryota n.a. fruit n.a. PMID[19405508]
NPO27978 Crossosoma bigelovii Species Crossosomataceae Eukaryota n.a. n.a. n.a. PMID[19405508]
NPO27978 Crossosoma bigelovii Species Crossosomataceae Eukaryota n.a. leaf n.a. PMID[19405508]
NPO27978 Crossosoma bigelovii Species Crossosomataceae Eukaryota n.a. flower n.a. PMID[19405508]
NPO27978 Crossosoma bigelovii Species Crossosomataceae Eukaryota n.a. twig n.a. PMID[19405508]
NPO27978 Crossosoma bigelovii Species Crossosomataceae 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
NPT81 Cell line A549 Homo sapiens GI50 = 400.0 nM PMID[19405508]
NPT139 Cell line HT-29 Homo sapiens GI50 = 6000.0 nM PMID[19405508]
NPT83 Cell line MCF7 Homo sapiens GI50 = 800.0 nM PMID[19405508]

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 NPC99957 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
0.7595 Intermediate Similarity NPC181616
0.6897 Remote Similarity NPC204693
0.5978 Remote Similarity NPC213052
0.5833 Remote Similarity NPC114740
0.5625 Remote Similarity NPC483707
0.5604 Remote Similarity NPC211594
0.557 Remote Similarity NPC469622
0.5532 Remote Similarity NPC22062
0.5532 Remote Similarity NPC473634
0.5532 Remote Similarity NPC138811
0.551 Remote Similarity NPC473073
0.5474 Remote Similarity NPC473571
0.5474 Remote Similarity NPC110941
0.5426 Remote Similarity NPC44931
0.5417 Remote Similarity NPC126784
0.5417 Remote Similarity NPC241423
0.5368 Remote Similarity NPC210073
0.5366 Remote Similarity NPC479450
0.5361 Remote Similarity NPC470443
0.5352 Remote Similarity NPC30647
0.5306 Remote Similarity NPC209296
0.5269 Remote Similarity NPC172807
0.5263 Remote Similarity NPC67105
0.5253 Remote Similarity NPC294722
0.5213 Remote Similarity NPC254540
0.5208 Remote Similarity NPC233994
0.5208 Remote Similarity NPC475155
0.5208 Remote Similarity NPC303913
0.5158 Remote Similarity NPC187379
0.5155 Remote Similarity NPC186816
0.5152 Remote Similarity NPC257714
0.5119 Remote Similarity NPC191154
0.5104 Remote Similarity NPC173582
0.5104 Remote Similarity NPC265885
0.5104 Remote Similarity NPC181465
0.5104 Remote Similarity NPC215710
0.5104 Remote Similarity NPC473438
0.5104 Remote Similarity NPC227508
0.5104 Remote Similarity NPC253788
0.5102 Remote Similarity NPC475366
0.5052 Remote Similarity NPC203259
0.5052 Remote Similarity NPC65563
0.5052 Remote Similarity NPC33054
0.5052 Remote Similarity NPC470949
0.5052 Remote Similarity NPC84494
0.5052 Remote Similarity NPC176740
0.5052 Remote Similarity NPC471725
0.5052 Remote Similarity NPC134532
0.5052 Remote Similarity NPC602582
0.5051 Remote Similarity NPC211532
0.5051 Remote Similarity NPC488364
0.505 Remote Similarity NPC476472
0.505 Remote Similarity NPC294815
0.505 Remote Similarity NPC16194

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC99957 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
0.5306 Remote Similarity NPD7054 Phase 4
0.5052 Remote Similarity NPD6797 Phase 2

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