Natural Product: NPC90489

Natural Product IDNPC90489
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KYQZWONCHDNPDP-NFRVFMFJSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44257214
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 KYQZWONCHDNPDP-NFRVFMFJSA-N
Standard InCHI InChI=1S/C21H20O9/c22-8-16-18(25)19(26)20(27)21(30-16)29-12-5-6-13-15(7-12)28-9-14(17(13)24)10-1-3-11(23)4-2-10/h1-7,9,16,18-23,25-27H,8H2/t16?,18-,19+,20?,21-/m1/s1
SMILES c1cc(ccc1c1coc2cc(ccc2c1=O)O[C@H]1C([C@H]([C@@H](C(CO)O1)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   416.11 Volume:   395.567
?
Van der Waals volume.
Dense:   1.052 LogP:   0.109
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.074
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.456
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   24.0
TPSA:   149.82
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   5.0 Rings:   4.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.406 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.66 Fsp3:   0.286
MCE-18:   80.889
?
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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.535 Fluc inhibitor:   0.378
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.945
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.764
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.318 Promiscuous compounds:   0.229

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.332 MDCK Permeability:   -5.104
Pgp-inhibitor:   0.0 Pgp-substrate:   0.438
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):   0.838
20% Bioavailability (F20%):   0.783 30% Bioavailability (F30%):   0.98
50% Bioavailability (F50%):   0.983

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.004 MRP1:   0.418
Plasma Protein Binding (PPB):   76.33% Volume Distribution (VD):   0.113
Fu: 28.017%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.885
OATP1B3 inhibitor:   0.992 BCRP inhibitor:   0.043
BSEP inhibitor:   0.018

ADMET: Metabolism

CYP1A2-inhibitor:   0.11 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.007
CYP2C9-inhibitor:   0.576 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.003 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.997
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
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):  3.18 Half-life (T1/2):  2.853

ADMET: Toxicity

hERG Blockers:  0.131 hERG Blockers (10um):  0.344
Human Hepatotoxicity (H-HT):  0.628 Drug-induced Liver Injury (DILI):  0.759
AMES Toxicity:  0.678 Rat Oral Acute Toxicity:  0.169
Maximum Recommended Daily Dose:  0.187 Skin Sensitization:  0.655
Carcinogencity:  0.391 Eye Corrosion:  0.0
Eye Irritation:  0.23 Respiratory Toxicity:  0.051
Drug-induced Neurotoxicity:  0.086 Ototoxicity:  0.897
Hematotoxicity:  0.133 Drug-induced Nephrotoxicity:  0.453
Genotoxicity:  0.619 RPMI-8226 Immunitoxicity:  0.079
A549 Cytotoxicity:  0.148 Hek293 Cytotoxicity:  0.454
BCF:   0.497
?
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:   3.187
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.765
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.872
?
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
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s11746-997-0093-1]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. Wrocław, Poland 2004–2005 DOI[10.1016/J.FOODCHEM.2006.08.014]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. retail stores, supermarkets and market stalls in Forssa and in the Helsinki area 2003–2005 DOI[10.1016/j.jfca.2006.05.007]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/S0021-9258(18)90865-3]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/S0168-9452(02)00136-X]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/S0168-9452(02)00136-X]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1021/jf950732o]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1023/A:1024390522259]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[10775096]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. root n.a. PMID[1622242]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[16659156]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[16668466]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[18460139]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[20963508]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[22537213]
NPO7635 Glycine max Species Fabaceae Eukaryota Seeds Tekirdag, Turkey PMID[24499198]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[25053043]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[25070365]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. seed n.a. PMID[25369450]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[25369450]
NPO30303 Pueraria lobata Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[25679337]
NPO30303 Pueraria lobata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5939 Semen sojae praeparata n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO8707.1 Pueraria montana var. lobata Varieties Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Testa n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Cotyledon n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Stem n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Sprout Seedling n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Root n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Pericarp n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Hypocotyl n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Oil n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO30892 Pueraria thomsonii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9177 Semen sojae n.a. n.a. n.a. n.a. n.a. n.a. Database[HerDing]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO30303 Pueraria lobata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. seed n.a. Database[MetaboLights]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. Database[MetaboLights]
NPO7635 Glycine max Species Fabaceae Eukaryota Seeds n.a. Database[Phenol-Explorer]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8707.1 Pueraria montana var. lobata Varieties Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5939 Semen sojae praeparata n.a. n.a. n.a. n.a. n.a. n.a. Database[TCMID]
NPO8707.2 Pueraria montana var. thomsonii Varieties Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9177 Semen sojae n.a. n.a. n.a. n.a. n.a. n.a. Database[TCMID]
NPO30892 Pueraria thomsonii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO30303 Pueraria lobata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9177 Semen sojae n.a. n.a. n.a. n.a. n.a. n.a. Database[TCM_Taiwan]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO8707.1 Pueraria montana var. lobata Varieties Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO8707.2 Pueraria montana var. thomsonii Varieties Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO7635 Glycine max Species Fabaceae 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]
NPO8707.1 Pueraria montana var. lobata Varieties 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 NPC90489 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
1.0 High Similarity NPC161749
0.8429 Intermediate Similarity NPC211014
0.8286 Intermediate Similarity NPC45165
0.7867 Intermediate Similarity NPC229729
0.7808 Intermediate Similarity NPC105511
0.7568 Intermediate Similarity NPC197896
0.7568 Intermediate Similarity NPC258035
0.7568 Intermediate Similarity NPC313163
0.7403 Intermediate Similarity NPC601607
0.7368 Intermediate Similarity NPC100720
0.7143 Intermediate Similarity NPC205076
0.7123 Intermediate Similarity NPC25547
0.6842 Remote Similarity NPC135345
0.6582 Remote Similarity NPC73511
0.6538 Remote Similarity NPC259070
0.6471 Remote Similarity NPC181124
0.6456 Remote Similarity NPC156457
0.6395 Remote Similarity NPC479405
0.6329 Remote Similarity NPC348541
0.6322 Remote Similarity NPC479404
0.625 Remote Similarity NPC603782
0.622 Remote Similarity NPC80140
0.619 Remote Similarity NPC479407
0.6154 Remote Similarity NPC231194
0.6071 Remote Similarity NPC479406
0.6049 Remote Similarity NPC168822
0.6049 Remote Similarity NPC234739
0.6 Remote Similarity NPC48773
0.5934 Remote Similarity NPC51326
0.5882 Remote Similarity NPC307518
0.5833 Remote Similarity NPC479402
0.5745 Remote Similarity NPC235575
0.5714 Remote Similarity NPC138540
0.5679 Remote Similarity NPC487214
0.5647 Remote Similarity NPC224462
0.5647 Remote Similarity NPC479401
0.561 Remote Similarity NPC160515
0.5542 Remote Similarity NPC39360
0.5542 Remote Similarity NPC29763
0.5542 Remote Similarity NPC210003
0.5495 Remote Similarity NPC303913
0.5467 Remote Similarity NPC103409
0.5465 Remote Similarity NPC481043
0.5412 Remote Similarity NPC610763
0.5341 Remote Similarity NPC607201
0.534 Remote Similarity NPC76047
0.5319 Remote Similarity NPC479403
0.5294 Remote Similarity NPC93337
0.5294 Remote Similarity NPC297987
0.5294 Remote Similarity NPC323593
0.5294 Remote Similarity NPC203500
0.5278 Remote Similarity NPC605229
0.5233 Remote Similarity NPC105025
0.5227 Remote Similarity NPC43761
0.5227 Remote Similarity NPC610187
0.5176 Remote Similarity NPC58053
0.5176 Remote Similarity NPC83283
0.5119 Remote Similarity NPC124478
0.5116 Remote Similarity NPC95090
0.5116 Remote Similarity NPC146792
0.5116 Remote Similarity NPC27408
0.507 Remote Similarity NPC182428
0.5062 Remote Similarity NPC191154
0.5057 Remote Similarity NPC186807
0.5057 Remote Similarity NPC24043
0.5057 Remote Similarity NPC100818

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC90489 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
1.0 High Similarity NPD4381 Clinical (unspecified phase)
0.6623 Remote Similarity NPD3818 Discontinued
0.5119 Remote Similarity NPD4380 Phase 2

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