Natural Product: NPC176244

Natural Product IDNPC176244
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
UZFVFMDEGBUPFO-ZZZQZPNGSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44207161
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0000507] Isoflavonoid O-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 UZFVFMDEGBUPFO-ZZZQZPNGSA-N
Standard InCHI InChI=1S/C27H30O16/c28-6-14-18(32)21(35)23(37)26(41-14)40-13-5-12-16(17(31)11(8-39-12)9-1-3-10(30)4-2-9)20(34)25(13)43-27-24(38)22(36)19(33)15(7-29)42-27/h1-5,8,14-15,18-19,21-24,26-30,32-38H,6-7H2/t14-,15-,18-,19-,21+,22+,23-,24-,26-,27+/m1/s1
SMILES c1cc(ccc1c1coc2cc(c(c(c2c1=O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   610.15 Volume:   552.318
?
Van der Waals volume.
Dense:   1.105 LogP:   -0.562
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.538
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.317
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   30.0
TPSA:   269.43
?
Topological Polar Surface Area.
H-Bond Acceptor:   16.0
H-Bond Donor:   10.0 Rings:   5.0
Heavy Atoms:   16.0

MedChem Properties

QED Drug-Likeness Score:   0.13 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.744 Fsp3:   0.444
MCE-18:   119.436
?
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:   0
Colloidal aggregators:   0.596 Fluc inhibitor:   0.273
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.739
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.532
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.275 Promiscuous compounds:   0.513

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.71 MDCK Permeability:   -4.93
Pgp-inhibitor:   0.0 Pgp-substrate:   0.186
PAMPA:   1.0
?
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):   0.965
20% Bioavailability (F20%):   0.214 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.006 MRP1:   0.01
Plasma Protein Binding (PPB):   80.208% Volume Distribution (VD):   -0.145
Fu: 20.122%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.025
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.129
HLM stability:   0.0
?
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):  1.795 Half-life (T1/2):  5.231

ADMET: Toxicity

hERG Blockers:  0.008 hERG Blockers (10um):  0.024
Human Hepatotoxicity (H-HT):  0.84 Drug-induced Liver Injury (DILI):  0.987
AMES Toxicity:  0.961 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.006 Skin Sensitization:  1.0
Carcinogencity:  0.092 Eye Corrosion:  0.0
Eye Irritation:  0.006 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.995
Hematotoxicity:  0.227 Drug-induced Nephrotoxicity:  0.828
Genotoxicity:  0.944 RPMI-8226 Immunitoxicity:  0.084
A549 Cytotoxicity:  0.381 Hek293 Cytotoxicity:  0.317
BCF:   0.308
?
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:   2.744
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.445
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.394
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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
NPO25932 Delphinium barbeyi Species Ranunculaceae Eukaryota n.a. n.a. n.a. DOI[10.1021/jf00025a020]
NPO9446 Asterias rathbuni Species Asteriidae Eukaryota n.a. n.a. n.a. PMID[11473430]
NPO13715 Bertya dimerostigma Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6243 Fomes fastuosus Species Coriolaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5081 Amorphinopsis foetida Species Halichondriidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25932 Delphinium barbeyi Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9446 Asterias rathbuni Species Asteriidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25932 Delphinium barbeyi Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8707.2 Pueraria montana var. thomsonii Varieties Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25932 Delphinium barbeyi Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8707.2 Pueraria montana var. thomsonii Varieties Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO13715 Bertya dimerostigma Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8707.2 Pueraria montana var. thomsonii Varieties Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25932 Delphinium barbeyi Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5479 Astragalus wiedemannianus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9446 Asterias rathbuni Species Asteriidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6243 Fomes fastuosus Species Coriolaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5081 Amorphinopsis foetida Species Halichondriidae 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 NPC176244 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
0.9275 High Similarity NPC205076
0.7792 Intermediate Similarity NPC48773
0.7703 Intermediate Similarity NPC197896
0.7703 Intermediate Similarity NPC313163
0.7467 Intermediate Similarity NPC105511
0.7436 Intermediate Similarity NPC307518
0.7403 Intermediate Similarity NPC224462
0.7237 Intermediate Similarity NPC161749
0.6835 Remote Similarity NPC100720
0.6512 Remote Similarity NPC479405
0.65 Remote Similarity NPC73511
0.6456 Remote Similarity NPC348541
0.6437 Remote Similarity NPC479404
0.6375 Remote Similarity NPC156457
0.6341 Remote Similarity NPC481043
0.6341 Remote Similarity NPC80140
0.6296 Remote Similarity NPC105025
0.625 Remote Similarity NPC259070
0.6173 Remote Similarity NPC93337
0.6173 Remote Similarity NPC258035
0.6143 Remote Similarity NPC216769
0.6125 Remote Similarity NPC135345
0.6049 Remote Similarity NPC211014
0.5976 Remote Similarity NPC234739
0.5926 Remote Similarity NPC45165
0.5811 Remote Similarity NPC285973
0.5747 Remote Similarity NPC479407
0.5714 Remote Similarity NPC186807
0.5714 Remote Similarity NPC24043
0.5698 Remote Similarity NPC229729
0.5647 Remote Similarity NPC138540
0.5647 Remote Similarity NPC201292
0.5632 Remote Similarity NPC479406
0.5604 Remote Similarity NPC303913
0.5581 Remote Similarity NPC609451
0.5542 Remote Similarity NPC160515
0.5529 Remote Similarity NPC45638
0.5517 Remote Similarity NPC601607
0.5476 Remote Similarity NPC58053
0.5465 Remote Similarity NPC117260
0.5455 Remote Similarity NPC602805
0.5426 Remote Similarity NPC479403
0.5412 Remote Similarity NPC146792
0.5402 Remote Similarity NPC488071
0.5368 Remote Similarity NPC257714
0.5341 Remote Similarity NPC21666
0.5294 Remote Similarity NPC39360
0.5294 Remote Similarity NPC29763
0.5294 Remote Similarity NPC210003
0.5233 Remote Similarity NPC603782
0.5227 Remote Similarity NPC479402
0.5227 Remote Similarity NPC479401
0.5222 Remote Similarity NPC488072
0.5172 Remote Similarity NPC84265
0.5172 Remote Similarity NPC603655
0.5169 Remote Similarity NPC605067
0.5169 Remote Similarity NPC610187
0.5116 Remote Similarity NPC83283
0.5111 Remote Similarity NPC607201
0.5057 Remote Similarity NPC297987
0.5057 Remote Similarity NPC323593
0.5057 Remote Similarity NPC203500
0.5057 Remote Similarity NPC259152

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC176244 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
0.7237 Intermediate Similarity NPD4381 Clinical (unspecified phase)
0.5542 Remote Similarity NPD3818 Discontinued

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