Natural Product: NPC100720

Natural Product IDNPC100720
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KSVVGBSBNPMXJF-RECXWPGBSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 189922
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 KSVVGBSBNPMXJF-RECXWPGBSA-N
Standard InCHI InChI=1S/C22H22O10/c1-29-14-6-12(31-22-21(28)20(27)19(26)16(8-23)32-22)7-15-17(14)18(25)13(9-30-15)10-2-4-11(24)5-3-10/h2-7,9,16,19-24,26-28H,8H2,1H3/t16-,19-,20+,21-,22-/m1/s1
SMILES COc1cc(cc2c1c(=O)c(co2)c1ccc(cc1)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   446.12 Volume:   421.653
?
Van der Waals volume.
Dense:   1.058 LogP:   0.695
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.269
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.251
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   24.0
TPSA:   159.05
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   5.0 Rings:   4.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.37 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.805 Fsp3:   0.318
MCE-18:   83.621
?
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:   0.546 Fluc inhibitor:   0.269
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.86
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.741
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.091 Promiscuous compounds:   0.243

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.185 MDCK Permeability:   -5.195
Pgp-inhibitor:   0.0 Pgp-substrate:   0.161
PAMPA:   0.995
?
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):   0.654
20% Bioavailability (F20%):   0.204 30% Bioavailability (F30%):   0.877
50% Bioavailability (F50%):   0.939

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.005 MRP1:   0.088
Plasma Protein Binding (PPB):   77.686% Volume Distribution (VD):   -0.153
Fu: 21.571%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.276
BSEP inhibitor:   0.046

ADMET: Metabolism

CYP1A2-inhibitor:   0.077 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.003
CYP2D6-inhibitor:   0.003 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.091
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.846
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):  3.275 Half-life (T1/2):  3.366

ADMET: Toxicity

hERG Blockers:  0.053 hERG Blockers (10um):  0.164
Human Hepatotoxicity (H-HT):  0.696 Drug-induced Liver Injury (DILI):  0.915
AMES Toxicity:  0.857 Rat Oral Acute Toxicity:  0.05
Maximum Recommended Daily Dose:  0.069 Skin Sensitization:  0.979
Carcinogencity:  0.417 Eye Corrosion:  0.0
Eye Irritation:  0.28 Respiratory Toxicity:  0.021
Drug-induced Neurotoxicity:  0.049 Ototoxicity:  0.905
Hematotoxicity:  0.264 Drug-induced Nephrotoxicity:  0.709
Genotoxicity:  0.786 RPMI-8226 Immunitoxicity:  0.082
A549 Cytotoxicity:  0.2 Hek293 Cytotoxicity:  0.362
BCF:   0.475
?
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:   3.199
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.627
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.784
?
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]
NPO16444 Apios americana Species Fabaceae Eukaryota Tubers n.a. n.a. PMID[29932657]
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]
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]
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]
NPO16444 Apios americana 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
NPT113 Cell line RAW264.7 Mus musculus IC50 > 1000.0 nM PMID[29932657]

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 NPC100720 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
0.84 Intermediate Similarity NPC479407
0.8267 Intermediate Similarity NPC479406
0.7763 Intermediate Similarity NPC479402
0.7368 Intermediate Similarity NPC197896
0.7368 Intermediate Similarity NPC105511
0.7368 Intermediate Similarity NPC313163
0.7368 Intermediate Similarity NPC161749
0.7179 Intermediate Similarity NPC205076
0.6765 Remote Similarity NPC162680
0.6625 Remote Similarity NPC73511
0.6625 Remote Similarity NPC610763
0.6463 Remote Similarity NPC479401
0.6456 Remote Similarity NPC45165
0.6296 Remote Similarity NPC258035
0.625 Remote Similarity NPC479405
0.625 Remote Similarity NPC135345
0.619 Remote Similarity NPC229729
0.618 Remote Similarity NPC479404
0.6173 Remote Similarity NPC259070
0.6173 Remote Similarity NPC211014
0.6173 Remote Similarity NPC348541
0.6098 Remote Similarity NPC156457
0.6071 Remote Similarity NPC80140
0.6047 Remote Similarity NPC48773
0.5747 Remote Similarity NPC307518
0.5714 Remote Similarity NPC234739
0.5698 Remote Similarity NPC481043
0.5698 Remote Similarity NPC224462
0.5529 Remote Similarity NPC603782
0.5517 Remote Similarity NPC169404
0.5517 Remote Similarity NPC176186
0.5476 Remote Similarity NPC183357
0.5455 Remote Similarity NPC601607
0.5402 Remote Similarity NPC138540
0.5393 Remote Similarity NPC607201
0.5376 Remote Similarity NPC303913
0.5294 Remote Similarity NPC160515
0.5278 Remote Similarity NPC223354
0.5278 Remote Similarity NPC608360
0.527 Remote Similarity NPC7013
0.5233 Remote Similarity NPC39360
0.5233 Remote Similarity NPC29763
0.5233 Remote Similarity NPC83283
0.5233 Remote Similarity NPC210003
0.5227 Remote Similarity NPC182045
0.5227 Remote Similarity NPC599850
0.5208 Remote Similarity NPC479403
0.519 Remote Similarity NPC62518
0.5172 Remote Similarity NPC93337
0.5172 Remote Similarity NPC297987
0.5172 Remote Similarity NPC323593
0.5172 Remote Similarity NPC203500
0.5119 Remote Similarity NPC25547
0.5114 Remote Similarity NPC24043
0.5114 Remote Similarity NPC84362
0.5114 Remote Similarity NPC105025
0.5111 Remote Similarity NPC284960
0.5111 Remote Similarity NPC610187
0.5057 Remote Similarity NPC110349
0.5055 Remote Similarity NPC150442

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC100720 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
0.7368 Intermediate Similarity NPD4381 Clinical (unspecified phase)
0.5476 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