Natural Product: NPC279013

Natural Product IDNPC279013
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XLXOFHHXAZAIHM-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5316145
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0002585] O-methylated flavonoids
          • [CHEMONTID:0002592] 7-O-methylated flavonoids

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 XLXOFHHXAZAIHM-UHFFFAOYSA-N
Standard InCHI InChI=1S/C32H22O10/c1-38-19-7-3-16(4-8-19)25-14-23(36)30-27(42-25)15-28(39-2)32(31(30)37)40-20-9-5-17(6-10-20)24-13-22(35)29-21(34)11-18(33)12-26(29)41-24/h3-15,33-34,37H,1-2H3
SMILES COc1ccc(cc1)c1cc(=O)c2c(cc(c(c2O)Oc2ccc(cc2)c2cc(=O)c3c(cc(cc3o2)O)O)OC)o1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   566.12 Volume:   556.408
?
Van der Waals volume.
Dense:   1.017 LogP:   4.267
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.239
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.33
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   36.0
TPSA:   148.8
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.214 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.855 Fsp3:   0.062
MCE-18:   35.0
?
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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.985 Fluc inhibitor:   0.839
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.97
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.998
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.377 Promiscuous compounds:   0.912

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.06 MDCK Permeability:   -4.805
Pgp-inhibitor:   0.683 Pgp-substrate:   0.192
PAMPA:   0.208
?
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):   0.017
20% Bioavailability (F20%):   0.384 30% Bioavailability (F30%):   0.841
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.967
Plasma Protein Binding (PPB):   98.227% Volume Distribution (VD):   -0.305
Fu: 0.902%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.926
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.994
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.639 CYP1A2-substrate:   0.283
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.005
CYP2C9-inhibitor:   0.998 CYP2C9-substrate:   0.932
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.016 CYP3A4-substrate:   0.683
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.928
?
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):  2.608 Half-life (T1/2):  1.36

ADMET: Toxicity

hERG Blockers:  0.221 hERG Blockers (10um):  0.585
Human Hepatotoxicity (H-HT):  0.451 Drug-induced Liver Injury (DILI):  0.994
AMES Toxicity:  0.761 Rat Oral Acute Toxicity:  0.517
Maximum Recommended Daily Dose:  0.976 Skin Sensitization:  0.29
Carcinogencity:  0.902 Eye Corrosion:  0.006
Eye Irritation:  0.989 Respiratory Toxicity:  0.872
Drug-induced Neurotoxicity:  0.022 Ototoxicity:  0.063
Hematotoxicity:  0.069 Drug-induced Nephrotoxicity:  0.023
Genotoxicity:  0.995 RPMI-8226 Immunitoxicity:  0.077
A549 Cytotoxicity:  0.553 Hek293 Cytotoxicity:  0.954
BCF:   1.375
?
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:   4.626
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.475
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.174
?
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
NPO30638 Cryptomeria fortunei Species Cupressaceae Eukaryota bark n.a. n.a. PMID[18549276]
NPO13135 Campylotropis hirtella Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[19481938]
NPO12796 Periploca sepium Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[28294615]
NPO13468.1 Cryptomeria japonica var. sinensis Varieties Cupressaceae Eukaryota n.a. n.a. n.a. PMID[30485090]
NPO865 Dendrobium loddigesii Species Orchidaceae Eukaryota n.a. n.a. n.a. PMID[31291099]
NPO1257 Distephanus angulifolius Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10922 Pentaclethra macrophylla Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7773 Crinum moorei Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9704 Sonneratia caseolaris Species Lythraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12796 Periploca sepium Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9319 Pterocaulon virgatum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO865 Dendrobium loddigesii Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12205 Eucalyptus apodophylla Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6731 Ononis spinosa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7773 Crinum moorei Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12796 Periploca sepium Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13135 Campylotropis hirtella Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO30638 Cryptomeria fortunei Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO865 Dendrobium loddigesii Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13135 Campylotropis hirtella Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7773 Crinum moorei Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13468.1 Cryptomeria japonica var. sinensis Varieties Cupressaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6731 Ononis spinosa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO865 Dendrobium loddigesii Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12796 Periploca sepium Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12796 Periploca sepium Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO30638 Cryptomeria fortunei Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO865 Dendrobium loddigesii Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO6731 Ononis spinosa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12796 Periploca sepium Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO865 Dendrobium loddigesii Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO22691 Mentha cardiaca Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13468.1 Cryptomeria japonica var. sinensis Varieties Cupressaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6289 Ceropegia dichotoma Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9704 Sonneratia caseolaris Species Lythraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23384 Rhodiola semenovii Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO865 Dendrobium loddigesii Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10638 Plectranthus myrianthus Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3873 Crotalaria candicans Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11843 Stephania zippeliana Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12565 Hypericum polyanthemum Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11190 Veronica polita Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10922 Pentaclethra macrophylla Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5043 Eria japonica Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8934 Gypsophila perfoliata Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9532 Vernonia cistifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13135 Campylotropis hirtella Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1815 Breonia chinensis Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5456 Juniperus drupacea Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7773 Crinum moorei Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1257 Distephanus angulifolius Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12796 Periploca sepium Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9319 Pterocaulon virgatum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21720 Talaromyces variabilis Species Trichocomaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7822.1 Eucalyptus globulus subsp. bicostata Subspecies Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12091 Martensia denticulata Species Delesseriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO526 Salvia sessei Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6731 Ononis spinosa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12205 Eucalyptus apodophylla Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11576 Glycosmis macrophylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10605 Tristania conferta Species Myrtaceae 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 NPC279013 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
0.8939 High Similarity NPC272064
0.7465 Intermediate Similarity NPC600396
0.7419 Intermediate Similarity NPC231772
0.7 Intermediate Similarity NPC183
0.6528 Remote Similarity NPC196179
0.6364 Remote Similarity NPC145379
0.6324 Remote Similarity NPC12200
0.6119 Remote Similarity NPC62536
0.6087 Remote Similarity NPC52005
0.6027 Remote Similarity NPC112954
0.5974 Remote Similarity NPC150908
0.597 Remote Similarity NPC156222
0.597 Remote Similarity NPC29353
0.5897 Remote Similarity NPC303485
0.5882 Remote Similarity NPC483773
0.5867 Remote Similarity NPC34089
0.5823 Remote Similarity NPC186227
0.5679 Remote Similarity NPC601565
0.5652 Remote Similarity NPC120464
0.5652 Remote Similarity NPC601901
0.5634 Remote Similarity NPC606638
0.5616 Remote Similarity NPC605634
0.5556 Remote Similarity NPC183950
0.55 Remote Similarity NPC72425
0.5455 Remote Similarity NPC50898
0.5455 Remote Similarity NPC78540
0.5429 Remote Similarity NPC184136
0.5429 Remote Similarity NPC59951
0.5429 Remote Similarity NPC57030
0.5429 Remote Similarity NPC241838
0.5429 Remote Similarity NPC120163
0.5375 Remote Similarity NPC600972
0.5366 Remote Similarity NPC143851
0.5352 Remote Similarity NPC600900
0.5352 Remote Similarity NPC603662
0.5309 Remote Similarity NPC71061
0.5286 Remote Similarity NPC239128
0.5286 Remote Similarity NPC600177
0.5278 Remote Similarity NPC69394
0.5244 Remote Similarity NPC14606
0.5211 Remote Similarity NPC234133
0.5211 Remote Similarity NPC266597
0.5205 Remote Similarity NPC160951
0.5205 Remote Similarity NPC195202
0.5181 Remote Similarity NPC121649
0.5181 Remote Similarity NPC215203
0.5119 Remote Similarity NPC18699
0.5072 Remote Similarity NPC279121
0.507 Remote Similarity NPC241498
0.507 Remote Similarity NPC127447
0.5068 Remote Similarity NPC255350
0.5062 Remote Similarity NPC134796

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC279013 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
0.5072 Remote Similarity NPD1511 Phase 2
0.5068 Remote Similarity NPD2801 Pre-clinical

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