Natural Product: NPC532607

Natural Product IDNPC532607
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5-hydroxy-7-[(2~{S},3~{R},4~{S},5~{S},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-3-[4-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxyphenyl]chromen-4-one
IUPAC Name 5-hydroxy-7-[(2~{S},3~{R},4~{S},5~{S},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-3-[4-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxyphenyl]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 OUJDQONJYHNTDX-OTDJDCQDSA-N
Standard InCHI InChI=1S/C27H30O15/c28-7-16-20(32)22(34)24(36)26(41-16)39-11-3-1-10(2-4-11)13-9-38-15-6-12(5-14(30)18(15)19(13)31)40-27-25(37)23(35)21(33)17(8-29)42-27/h1-6,9,16-17,20-30,32-37H,7-8H2/t16-,17+,20-,21-,22+,23+,24-,25-,26-,27-/m1/s1
SMILES O=C1C(C2=CC=C(O[C@@H]3O[C@H](CO)[C@@H](O)[C@H](O)[C@H]3O)C=C2)=COC2=CC(O[C@@H]3O[C@@H](CO)[C@@H](O)[C@H](O)[C@H]3O)=CC(O)=C12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   594.16 Volume:   543.527
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Van der Waals volume.
Dense:   1.093 LogP:   0.165
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.043
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.64
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   30.0
TPSA:   249.2
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Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   9.0 Rings:   5.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.137 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.598 Fsp3:   0.444
MCE-18:   115.923
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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:   0 PAINS Alert:   0
Colloidal aggregators:   0.615 Fluc inhibitor:   0.294
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.917
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.583
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.307 Promiscuous compounds:   0.401

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.788 MDCK Permeability:   -4.901
Pgp-inhibitor:   0.0 Pgp-substrate:   0.453
PAMPA:   1.0
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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):   0.957
20% Bioavailability (F20%):   0.144 30% Bioavailability (F30%):   0.986
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.023
Plasma Protein Binding (PPB):   78.94% Volume Distribution (VD):   -0.293
Fu: 20.439%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.058
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 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:   0.023
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.014
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):  1.605 Half-life (T1/2):  4.642

ADMET: Toxicity

hERG Blockers:  0.012 hERG Blockers (10um):  0.041
Human Hepatotoxicity (H-HT):  0.827 Drug-induced Liver Injury (DILI):  0.998
AMES Toxicity:  0.979 Rat Oral Acute Toxicity:  0.007
Maximum Recommended Daily Dose:  0.002 Skin Sensitization:  0.997
Carcinogencity:  0.084 Eye Corrosion:  0.0
Eye Irritation:  0.006 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.997
Hematotoxicity:  0.315 Drug-induced Nephrotoxicity:  0.969
Genotoxicity:  0.924 RPMI-8226 Immunitoxicity:  0.165
A549 Cytotoxicity:  0.257 Hek293 Cytotoxicity:  0.097
BCF:   0.426
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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:   3.096
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.814
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.749
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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
NPO20846 Sophora japonica Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO43557 Psoralea oligophylla Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO46532 Psoralea laxa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO45429 Psoralea fascicularis Genus Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO56579 Psoralea effusa Genus Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO53828 Lupinus albus L. Genus Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO52393 Lupinus perennis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO49973 Thermopsis villosa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO47416 Lupinus hartwegii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10667 Thermopsis rhombifolia Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28939 Piptanthus nepalensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2455 Thermopsis mollis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20846 Sophora japonica Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28939 Piptanthus nepalensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28939 Piptanthus nepalensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20846 Sophora japonica Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28939 Piptanthus nepalensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO20846 Sophora japonica Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO20846 Sophora japonica Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO10667 Thermopsis rhombifolia Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28939 Piptanthus nepalensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20846 Sophora japonica Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2455 Thermopsis mollis Species Fabaceae 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 NPC532607 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
0.9403 High Similarity NPC73511
0.8696 High Similarity NPC197896
0.8696 High Similarity NPC313163
0.8429 Intermediate Similarity NPC234739
0.8406 Intermediate Similarity NPC160515
0.7917 Intermediate Similarity NPC156457
0.76 Intermediate Similarity NPC80140
0.7342 Intermediate Similarity NPC487212
0.7297 Intermediate Similarity NPC348541
0.7284 Intermediate Similarity NPC479405
0.7195 Intermediate Similarity NPC479404
0.6974 Remote Similarity NPC258035
0.6933 Remote Similarity NPC45165
0.6795 Remote Similarity NPC205076
0.6795 Remote Similarity NPC138540
0.6753 Remote Similarity NPC487213
0.6753 Remote Similarity NPC161749
0.675 Remote Similarity NPC307518
0.6711 Remote Similarity NPC135345
0.6623 Remote Similarity NPC289667
0.65 Remote Similarity NPC224462
0.6437 Remote Similarity NPC479403
0.642 Remote Similarity NPC229729
0.6375 Remote Similarity NPC100720
0.6329 Remote Similarity NPC95090
0.6329 Remote Similarity NPC27408
0.6296 Remote Similarity NPC479402
0.6279 Remote Similarity NPC303913
0.6265 Remote Similarity NPC48773
0.6176 Remote Similarity NPC116632
0.6125 Remote Similarity NPC105511
0.6104 Remote Similarity NPC25547
0.6098 Remote Similarity NPC481043
0.6024 Remote Similarity NPC601607
0.5926 Remote Similarity NPC603782
0.5921 Remote Similarity NPC191154
0.5904 Remote Similarity NPC479401
0.5904 Remote Similarity NPC285197
0.5882 Remote Similarity NPC479407
0.5844 Remote Similarity NPC134819
0.5833 Remote Similarity NPC22832
0.5833 Remote Similarity NPC243930
0.5833 Remote Similarity NPC610187
0.5802 Remote Similarity NPC39360
0.5802 Remote Similarity NPC29763
0.5802 Remote Similarity NPC210003
0.5732 Remote Similarity NPC297987
0.5732 Remote Similarity NPC277205
0.5732 Remote Similarity NPC37919
0.5732 Remote Similarity NPC136042
0.5732 Remote Similarity NPC323593
0.5732 Remote Similarity NPC203500
0.5732 Remote Similarity NPC189142
0.5732 Remote Similarity NPC77660
0.5663 Remote Similarity NPC84362
0.5647 Remote Similarity NPC486578
0.561 Remote Similarity NPC261866
0.561 Remote Similarity NPC211014
0.5595 Remote Similarity NPC60966
0.5581 Remote Similarity NPC479406
0.5581 Remote Similarity NPC607707
0.5568 Remote Similarity NPC251417
0.5529 Remote Similarity NPC307938
0.5526 Remote Similarity NPC203636
0.5465 Remote Similarity NPC601144
0.5422 Remote Similarity NPC58053
0.5422 Remote Similarity NPC143851
0.5417 Remote Similarity NPC303644
0.5402 Remote Similarity NPC116458
0.5402 Remote Similarity NPC246943
0.5402 Remote Similarity NPC311830
0.5402 Remote Similarity NPC605784
0.5385 Remote Similarity NPC249824
0.5385 Remote Similarity NPC133400
0.5357 Remote Similarity NPC64305
0.5294 Remote Similarity NPC22195
0.5294 Remote Similarity NPC186807
0.5294 Remote Similarity NPC21190
0.5269 Remote Similarity NPC64425
0.5227 Remote Similarity NPC607201
0.5169 Remote Similarity NPC267254
0.5169 Remote Similarity NPC601586
0.5116 Remote Similarity NPC181712
0.5059 Remote Similarity NPC259070
0.5057 Remote Similarity NPC472459
0.5049 Remote Similarity NPC470716

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC532607 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
0.6753 Remote Similarity NPD4381 Clinical (unspecified phase)

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