Natural Product: NPC511205

Natural Product IDNPC511205
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Philonotisflavone
IUPAC Name 8-[6-(5,7-dihydroxy-4-oxo-chromen-2-yl)-2,3-dihydroxy-phenyl]-2-(3,4-dihydroxyphenyl)-5,7-dihydroxy-chromen-4-one
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 MJRDPDQSEGRCID-UHFFFAOYSA-N
Standard InCHI InChI=1S/C30H18O12/c31-12-6-17(35)26-20(38)10-23(41-24(26)7-12)13-2-4-15(33)29(40)25(13)28-19(37)8-18(36)27-21(39)9-22(42-30(27)28)11-1-3-14(32)16(34)5-11/h1-10,31-37,40H
SMILES O=C1C=C(C2=CC=C(O)C(O)=C2C2=C(O)C=C(O)C3=C2OC(C2=CC=C(O)C(O)=C2)=CC3=O)OC2=CC(O)=CC(O)=C12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   570.08 Volume:   539.397
?
Van der Waals volume.
Dense:   1.057 LogP:   3.128
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.019
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.017
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   36.0
TPSA:   222.26
?
Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   8.0 Rings:   6.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.137 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.251 Fsp3:   0.0
MCE-18:   38.0
?
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:   1
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.989 Fluc inhibitor:   0.631
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.754
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.922
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.682 Promiscuous compounds:   0.951

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.984 MDCK Permeability:   -4.879
Pgp-inhibitor:   0.0 Pgp-substrate:   0.269
PAMPA:   0.409
?
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):   0.001
20% Bioavailability (F20%):   0.939 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.931
Plasma Protein Binding (PPB):   96.627% Volume Distribution (VD):   -0.541
Fu: 3.315%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.928
OATP1B3 inhibitor:   0.987 BCRP inhibitor:   0.983
BSEP inhibitor:   0.141

ADMET: Metabolism

CYP1A2-inhibitor:   0.235 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.277 CYP2C9-substrate:   0.271
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.091
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.82
?
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):  3.515 Half-life (T1/2):  2.479

ADMET: Toxicity

hERG Blockers:  0.026 hERG Blockers (10um):  0.581
Human Hepatotoxicity (H-HT):  0.345 Drug-induced Liver Injury (DILI):  0.977
AMES Toxicity:  0.795 Rat Oral Acute Toxicity:  0.624
Maximum Recommended Daily Dose:  0.985 Skin Sensitization:  0.965
Carcinogencity:  0.672 Eye Corrosion:  0.002
Eye Irritation:  0.998 Respiratory Toxicity:  0.882
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.102
Hematotoxicity:  0.007 Drug-induced Nephrotoxicity:  0.003
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.059
A549 Cytotoxicity:  0.957 Hek293 Cytotoxicity:  0.96
BCF:   1.078
?
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:   4.254
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.752
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.494
?
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
NPO8970 Citrullus lanatus Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14435 Mnium hornum Species Mniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25263 Aulacomnium androgynum Species Aulacomniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO51807 Bartramia stricta Species Bartramiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO51079 Philonotis fontana Species Bartramiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8970 Citrullus lanatus Species Cucurbitaceae Eukaryota n.a. n.a. Database[FooDB]
NPO8970 Citrullus lanatus Species Cucurbitaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO8970 Citrullus lanatus Species Cucurbitaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO8970 Citrullus lanatus Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14435 Mnium hornum Species Mniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25263 Aulacomnium androgynum Species Aulacomniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8970 Citrullus lanatus Species Cucurbitaceae 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 NPC511205 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
0.7463 Intermediate Similarity NPC610480
0.7119 Intermediate Similarity NPC279121
0.7059 Intermediate Similarity NPC254351
0.6377 Remote Similarity NPC138299
0.6027 Remote Similarity NPC603692
0.5968 Remote Similarity NPC50898
0.5873 Remote Similarity NPC222713
0.5873 Remote Similarity NPC175013
0.5833 Remote Similarity NPC288840
0.5733 Remote Similarity NPC259757
0.5714 Remote Similarity NPC71061
0.5714 Remote Similarity NPC67322
0.5714 Remote Similarity NPC303485
0.5606 Remote Similarity NPC610974
0.5469 Remote Similarity NPC78540
0.5385 Remote Similarity NPC150908
0.5303 Remote Similarity NPC274121
0.5224 Remote Similarity NPC213216
0.5211 Remote Similarity NPC52005
0.5152 Remote Similarity NPC275772
0.5152 Remote Similarity NPC20791
0.5139 Remote Similarity NPC183950
0.5125 Remote Similarity NPC290830
0.5075 Remote Similarity NPC179271
0.5067 Remote Similarity NPC111112

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC511205 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
0.7119 Intermediate Similarity NPD1511 Phase 2
0.5152 Remote Similarity NPD1512 Phase 3

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