Natural Product: NPC11965

Natural Product IDNPC11965
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FRCCTBPYYAMKIB-PVVPWINYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44259028
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003533] Flavonoid-7-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 FRCCTBPYYAMKIB-PVVPWINYSA-N
Standard InCHI InChI=1S/C31H34O16/c1-11-21(36)24(39)25(40)30(41-11)45-17-9-18(35)20-19(10-17)46-26(15-5-7-16(34)8-6-15)28(23(20)38)47-31-29(44-14(4)33)27(43-13(3)32)22(37)12(2)42-31/h5-12,21-22,24-25,27,29-31,34-37,39-40H,1-4H3/t11?,12?,21-,22-,24?,25-,27?,29-,30-,31-/m0/s1
SMILES CC1[C@@H](C([C@@H]([C@@H](O1)Oc1cc(c2c(c1)oc(c1ccc(cc1)O)c(c2=O)O[C@H]1[C@H](C([C@H](C(C)O1)O)OC(=O)C)OC(=O)C)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   662.18 Volume:   616.229
?
Van der Waals volume.
Dense:   1.075 LogP:   0.575
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.137
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.561
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   32.0
TPSA:   241.11
?
Topological Polar Surface Area.
H-Bond Acceptor:   16.0
H-Bond Donor:   6.0 Rings:   5.0
Heavy Atoms:   16.0

MedChem Properties

QED Drug-Likeness Score:   0.188 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.833 Fsp3:   0.452
MCE-18:   124.0
?
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:   0.727 Fluc inhibitor:   0.144
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.934
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.723
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.124 Promiscuous compounds:   0.34

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.064 MDCK Permeability:   -5.156
Pgp-inhibitor:   0.0 Pgp-substrate:   0.998
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):   0.048
20% Bioavailability (F20%):   0.156 30% Bioavailability (F30%):   0.958
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.726
Plasma Protein Binding (PPB):   74.874% Volume Distribution (VD):   -0.009
Fu: 26.065%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.955
OATP1B3 inhibitor:   0.992 BCRP inhibitor:   0.33
BSEP inhibitor:   0.504

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:   0.045
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.27
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.996
HLM stability:   0.406
?
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):  2.344 Half-life (T1/2):  3.235

ADMET: Toxicity

hERG Blockers:  0.013 hERG Blockers (10um):  0.17
Human Hepatotoxicity (H-HT):  0.752 Drug-induced Liver Injury (DILI):  0.99
AMES Toxicity:  0.905 Rat Oral Acute Toxicity:  0.256
Maximum Recommended Daily Dose:  0.157 Skin Sensitization:  0.996
Carcinogencity:  0.062 Eye Corrosion:  0.0
Eye Irritation:  0.033 Respiratory Toxicity:  0.02
Drug-induced Neurotoxicity:  0.03 Ototoxicity:  0.892
Hematotoxicity:  0.262 Drug-induced Nephrotoxicity:  0.468
Genotoxicity:  0.981 RPMI-8226 Immunitoxicity:  0.117
A549 Cytotoxicity:  0.583 Hek293 Cytotoxicity:  0.506
BCF:   0.482
?
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:   3.169
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.719
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.002
?
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
NPO536 Dryopteris crassirhizoma Species Dryopteridaceae Eukaryota n.a. rhizome n.a. PMID[12951487]
NPO536 Dryopteris crassirhizoma Species Dryopteridaceae Eukaryota n.a. n.a. n.a. PMID[16870425]
NPO536 Dryopteris crassirhizoma Species Dryopteridaceae Eukaryota n.a. n.a. n.a. PMID[24013342]
NPO536 Dryopteris crassirhizoma Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO536 Dryopteris crassirhizoma Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO536 Dryopteris crassirhizoma Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO536 Dryopteris crassirhizoma Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO536 Dryopteris crassirhizoma Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO536 Dryopteris crassirhizoma Species Dryopteridaceae 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 NPC11965 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
0.7875 Intermediate Similarity NPC249281
0.747 Intermediate Similarity NPC46420
0.7442 Intermediate Similarity NPC276377
0.7326 Intermediate Similarity NPC116458
0.7326 Intermediate Similarity NPC246943
0.7097 Intermediate Similarity NPC72016
0.7093 Intermediate Similarity NPC48093
0.7065 Intermediate Similarity NPC64425
0.7033 Intermediate Similarity NPC150164
0.6957 Remote Similarity NPC186816
0.6915 Remote Similarity NPC32641
0.6915 Remote Similarity NPC256188
0.6915 Remote Similarity NPC35119
0.6744 Remote Similarity NPC297987
0.6667 Remote Similarity NPC271692
0.6562 Remote Similarity NPC606657
0.6556 Remote Similarity NPC605784
0.6517 Remote Similarity NPC611303
0.6364 Remote Similarity NPC298171
0.6322 Remote Similarity NPC111929
0.6322 Remote Similarity NPC320283
0.6322 Remote Similarity NPC331652
0.6322 Remote Similarity NPC41121
0.6311 Remote Similarity NPC25523
0.6296 Remote Similarity NPC138990
0.625 Remote Similarity NPC108831
0.625 Remote Similarity NPC182634
0.6186 Remote Similarity NPC240306
0.618 Remote Similarity NPC158674
0.617 Remote Similarity NPC251417
0.6162 Remote Similarity NPC142142
0.6078 Remote Similarity NPC14187
0.6067 Remote Similarity NPC289667
0.6 Remote Similarity NPC136042
0.6 Remote Similarity NPC164704
0.5922 Remote Similarity NPC470455
0.5889 Remote Similarity NPC19709
0.5889 Remote Similarity NPC238376
0.587 Remote Similarity NPC216496
0.5842 Remote Similarity NPC101399
0.5842 Remote Similarity NPC217822
0.5842 Remote Similarity NPC11847
0.5842 Remote Similarity NPC198938
0.5806 Remote Similarity NPC159579
0.5804 Remote Similarity NPC175429
0.58 Remote Similarity NPC483414
0.58 Remote Similarity NPC483415
0.5761 Remote Similarity NPC84362
0.5743 Remote Similarity NPC483416
0.5714 Remote Similarity NPC127546
0.5714 Remote Similarity NPC121703
0.5714 Remote Similarity NPC57625
0.5714 Remote Similarity NPC173637
0.5714 Remote Similarity NPC317489
0.5714 Remote Similarity NPC223424
0.5714 Remote Similarity NPC600591
0.5701 Remote Similarity NPC480441
0.5701 Remote Similarity NPC470715
0.5676 Remote Similarity NPC470717
0.5638 Remote Similarity NPC129217
0.5631 Remote Similarity NPC188815
0.5625 Remote Similarity NPC476215
0.5596 Remote Similarity NPC470716
0.5591 Remote Similarity NPC27640
0.5579 Remote Similarity NPC259957
0.5577 Remote Similarity NPC101636
0.5556 Remote Similarity NPC173582
0.5556 Remote Similarity NPC44931
0.5556 Remote Similarity NPC265885
0.5556 Remote Similarity NPC181465
0.5556 Remote Similarity NPC215710
0.5556 Remote Similarity NPC473438
0.5556 Remote Similarity NPC253788
0.5543 Remote Similarity NPC348541
0.5532 Remote Similarity NPC27942
0.5487 Remote Similarity NPC470720
0.5439 Remote Similarity NPC209550
0.5435 Remote Similarity NPC473043
0.5408 Remote Similarity NPC265115
0.5376 Remote Similarity NPC39360
0.5376 Remote Similarity NPC104677
0.5376 Remote Similarity NPC77672
0.5376 Remote Similarity NPC133671
0.5376 Remote Similarity NPC135391
0.5376 Remote Similarity NPC29763
0.5376 Remote Similarity NPC78263
0.5376 Remote Similarity NPC210003
0.5376 Remote Similarity NPC250069
0.5368 Remote Similarity NPC59534
0.5361 Remote Similarity NPC223747
0.5319 Remote Similarity NPC323593
0.5319 Remote Similarity NPC203500
0.5312 Remote Similarity NPC219904
0.5306 Remote Similarity NPC66087
0.5269 Remote Similarity NPC135599
0.5269 Remote Similarity NPC73855
0.5269 Remote Similarity NPC113968
0.5269 Remote Similarity NPC328940
0.5269 Remote Similarity NPC277174
0.5269 Remote Similarity NPC606877
0.5263 Remote Similarity NPC305811
0.5263 Remote Similarity NPC24043
0.5258 Remote Similarity NPC85707
0.5258 Remote Similarity NPC224530
0.5248 Remote Similarity NPC163242
0.5248 Remote Similarity NPC272068
0.5248 Remote Similarity NPC67105
0.5221 Remote Similarity NPC295625
0.5196 Remote Similarity NPC65563
0.5196 Remote Similarity NPC210073
0.5196 Remote Similarity NPC470949
0.5192 Remote Similarity NPC75574
0.5192 Remote Similarity NPC12013
0.5192 Remote Similarity NPC11432
0.5192 Remote Similarity NPC477613
0.5189 Remote Similarity NPC470447
0.5189 Remote Similarity NPC483413
0.5189 Remote Similarity NPC483412
0.5158 Remote Similarity NPC265530
0.5152 Remote Similarity NPC190003
0.5146 Remote Similarity NPC473571
0.5146 Remote Similarity NPC110941
0.514 Remote Similarity NPC470449
0.5106 Remote Similarity NPC160515
0.51 Remote Similarity NPC116864
0.51 Remote Similarity NPC244776
0.51 Remote Similarity NPC95866
0.5094 Remote Similarity NPC486577
0.5091 Remote Similarity NPC189564
0.5082 Remote Similarity NPC223860
0.506 Remote Similarity NPC146679
0.5054 Remote Similarity NPC288084
0.5053 Remote Similarity NPC476405
0.5049 Remote Similarity NPC203259
0.5049 Remote Similarity NPC65003
0.5049 Remote Similarity NPC33054
0.5049 Remote Similarity NPC176740
0.5049 Remote Similarity NPC471725
0.5049 Remote Similarity NPC134532
0.5049 Remote Similarity NPC602582
0.5047 Remote Similarity NPC89127

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC11965 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
0.5631 Remote Similarity NPD7251 Phase 2
0.5278 Remote Similarity NPD7808 Phase 3
0.5049 Remote Similarity NPD6797 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