Natural Product: NPC182729

Natural Product IDNPC182729
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ODHKRSFJWQEWGG-HWGSVKNTSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44257291
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 ODHKRSFJWQEWGG-HWGSVKNTSA-N
Standard InCHI InChI=1S/C27H30O14/c1-36-12-4-2-11(3-5-12)14-8-37-17-7-13(6-15(28)19(17)20(14)30)40-27-25(35)23(33)22(32)18(41-27)10-39-26-24(34)21(31)16(29)9-38-26/h2-8,16,18,21-29,31-35H,9-10H2,1H3/t16-,18-,21+,22-,23+,24-,25-,26+,27-/m1/s1
SMILES COc1ccc(cc1)c1coc2cc(cc(c2c1=O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO[C@H]2[C@@H]([C@H]([C@@H](CO2)O)O)O)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   578.16 Volume:   534.737
?
Van der Waals volume.
Dense:   1.081 LogP:   0.871
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.401
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.395
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   30.0
TPSA:   217.97
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   7.0 Rings:   5.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.176 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.539 Fsp3:   0.444
MCE-18:   112.41
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.611 Fluc inhibitor:   0.306
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.868
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.782
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.057 Promiscuous compounds:   0.316

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.316 MDCK Permeability:   -5.266
Pgp-inhibitor:   0.0 Pgp-substrate:   0.752
PAMPA:   0.994
?
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):   0.975
20% Bioavailability (F20%):   0.153 30% Bioavailability (F30%):   0.988
50% Bioavailability (F50%):   0.98

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.055
Plasma Protein Binding (PPB):   79.906% Volume Distribution (VD):   -0.422
Fu: 18.979%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.395
BSEP inhibitor:   0.006

ADMET: Metabolism

CYP1A2-inhibitor:   0.039 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:   0.049
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.992
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):  1.515 Half-life (T1/2):  3.702

ADMET: Toxicity

hERG Blockers:  0.039 hERG Blockers (10um):  0.097
Human Hepatotoxicity (H-HT):  0.512 Drug-induced Liver Injury (DILI):  0.986
AMES Toxicity:  0.917 Rat Oral Acute Toxicity:  0.008
Maximum Recommended Daily Dose:  0.032 Skin Sensitization:  0.949
Carcinogencity:  0.084 Eye Corrosion:  0.0
Eye Irritation:  0.082 Respiratory Toxicity:  0.006
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.971
Hematotoxicity:  0.169 Drug-induced Nephrotoxicity:  0.913
Genotoxicity:  0.442 RPMI-8226 Immunitoxicity:  0.19
A549 Cytotoxicity:  0.194 Hek293 Cytotoxicity:  0.214
BCF:   0.374
?
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:   3.137
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.632
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.791
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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
NPO24639 Streptomyces filamentosus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[17284073]
NPO546 Candida albicans Species Debaryomycetaceae Eukaryota n.a. n.a. n.a. PMID[23902158]
NPO4061 Trollius europaeus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12152 Nicotiana raimondii Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO546 Candida albicans Species Debaryomycetaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12152 Nicotiana raimondii Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9830 Arum maximum Species Araceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11127 Inulanthera calva Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24639 Streptomyces filamentosus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO15875 Scolopia chinensis Species Salicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7011 Chamomilla recutita n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO4061 Trollius europaeus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26656 Heliotropium hirsutissimum Species Heliotropiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO546 Candida albicans Species Debaryomycetaceae 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 NPC182729 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
0.7586 Intermediate Similarity NPC479405
0.7586 Intermediate Similarity NPC303913
0.75 Intermediate Similarity NPC479404
0.7065 Intermediate Similarity NPC51326
0.7024 Intermediate Similarity NPC73511
0.6867 Remote Similarity NPC160515
0.6774 Remote Similarity NPC479403
0.6737 Remote Similarity NPC231194
0.6395 Remote Similarity NPC348541
0.6322 Remote Similarity NPC197896
0.6322 Remote Similarity NPC313163
0.6304 Remote Similarity NPC487212
0.6277 Remote Similarity NPC475155
0.6105 Remote Similarity NPC22062
0.6105 Remote Similarity NPC473634
0.6105 Remote Similarity NPC138811
0.6 Remote Similarity NPC235575
0.5974 Remote Similarity NPC116632
0.5955 Remote Similarity NPC234739
0.5895 Remote Similarity NPC295613
0.5895 Remote Similarity NPC473657
0.58 Remote Similarity NPC488089
0.5778 Remote Similarity NPC487213
0.57 Remote Similarity NPC473623
0.57 Remote Similarity NPC257714
0.5604 Remote Similarity NPC156457
0.5591 Remote Similarity NPC80140
0.5567 Remote Similarity NPC51774
0.5545 Remote Similarity NPC209296
0.551 Remote Similarity NPC301683
0.5464 Remote Similarity NPC156977
0.5455 Remote Similarity NPC473512
0.5455 Remote Similarity NPC129827
0.5429 Remote Similarity NPC475261
0.5385 Remote Similarity NPC45165
0.5354 Remote Similarity NPC44931
0.5347 Remote Similarity NPC46202
0.5347 Remote Similarity NPC284277
0.5347 Remote Similarity NPC475497
0.5312 Remote Similarity NPC293004
0.5309 Remote Similarity NPC303644
0.5287 Remote Similarity NPC249824
0.5287 Remote Similarity NPC133400
0.5253 Remote Similarity NPC236191
0.5248 Remote Similarity NPC186816
0.5217 Remote Similarity NPC135345
0.5208 Remote Similarity NPC610187
0.52 Remote Similarity NPC67105
0.5189 Remote Similarity NPC135358
0.5158 Remote Similarity NPC205076
0.5149 Remote Similarity NPC210073
0.5146 Remote Similarity NPC65711
0.5116 Remote Similarity NPC298845
0.51 Remote Similarity NPC471079
0.5098 Remote Similarity NPC204693
0.5055 Remote Similarity NPC25547
0.5053 Remote Similarity NPC229687
0.5053 Remote Similarity NPC181712
0.5051 Remote Similarity NPC52353
0.505 Remote Similarity NPC15358
0.505 Remote Similarity NPC67326
0.505 Remote Similarity NPC275454
0.505 Remote Similarity NPC227508
0.5049 Remote Similarity NPC488074
0.5044 Remote Similarity NPC473895

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC182729 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
0.5545 Remote Similarity NPD7054 Phase 4

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