Natural Product: NPC289609

Natural Product IDNPC289609
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JKPGINPCCVKTKQ-VJXPIYMOSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 11856499
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides
          • [CHEMONTID:0002364] Steroidal saponins
            • [CHEMONTID:0001687] Cucurbitacin 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 JKPGINPCCVKTKQ-VJXPIYMOSA-N
Standard InCHI InChI=1S/C35H56O10/c1-16-12-18-26(30(4,5)41)45-35(44-18)25(16)32(7)21(37)13-34-15-33(34)11-10-22(43-27-24(39)23(38)17(36)14-42-27)29(2,3)19(33)8-9-20(34)31(32,6)28(35)40/h16-28,36-41H,8-15H2,1-7H3/t16-,17+,18?,19?,20?,21?,22+,23+,24-,25?,26-,27-,28-,31-,32-,33?,34?,35+/m1/s1
SMILES C[C@@H]1CC2[C@H](C(C)(C)O)O[C@]3(C1[C@@]1(C)C(CC45CC65CC[C@@H](C(C)(C)C6CCC4[C@]1(C)[C@H]3O)O[C@@H]1[C@@H]([C@H]([C@H](CO1)O)O)O)O)O2

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   636.39 Volume:   633.367
?
Van der Waals volume.
Dense:   1.005 LogP:   2.217
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.573
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.964
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   36.0
TPSA:   158.3
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   6.0 Rings:   8.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.254 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.493 Fsp3:   1.0
MCE-18:   218.743
?
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:   0.656 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.016
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.105 Promiscuous compounds:   0.013

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.947 MDCK Permeability:   -5.211
Pgp-inhibitor:   0.001 Pgp-substrate:   0.656
PAMPA:   0.998
?
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):   0.004
20% Bioavailability (F20%):   0.092 30% Bioavailability (F30%):   0.081
50% Bioavailability (F50%):   0.981

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.86
Plasma Protein Binding (PPB):   60.766% Volume Distribution (VD):   -0.389
Fu: 33.236%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.005
BSEP inhibitor:   0.604

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:   0.0
CYP3A4-inhibitor:   0.003 CYP3A4-substrate:   0.032
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.031
HLM stability:   0.037
?
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):  1.926 Half-life (T1/2):  2.954

ADMET: Toxicity

hERG Blockers:  0.061 hERG Blockers (10um):  0.403
Human Hepatotoxicity (H-HT):  0.401 Drug-induced Liver Injury (DILI):  0.088
AMES Toxicity:  0.788 Rat Oral Acute Toxicity:  0.722
Maximum Recommended Daily Dose:  0.698 Skin Sensitization:  0.987
Carcinogencity:  0.17 Eye Corrosion:  0.0
Eye Irritation:  0.012 Respiratory Toxicity:  0.401
Drug-induced Neurotoxicity:  0.048 Ototoxicity:  0.977
Hematotoxicity:  0.064 Drug-induced Nephrotoxicity:  0.345
Genotoxicity:  0.664 RPMI-8226 Immunitoxicity:  0.294
A549 Cytotoxicity:  0.077 Hek293 Cytotoxicity:  0.721
BCF:   1.603
?
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:   4.042
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.479
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.686
?
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
NPO15890 Cimicifuga foetida Species Ranunculaceae Eukaryota Roots n.a. n.a. PMID[20121210]
NPO15373 Actaea dahurica Species Ranunculaceae Eukaryota Roots n.a. n.a. PMID[28558206]
NPO15373 Actaea dahurica Species Ranunculaceae Eukaryota n.a. n.a. n.a. PMID[32031796]
NPO15373 Actaea dahurica Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15890 Cimicifuga foetida Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15373 Actaea dahurica Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15373 Actaea dahurica Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO15890 Cimicifuga foetida Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO15890 Cimicifuga foetida Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15373 Actaea dahurica Species Ranunculaceae 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 NPC289609 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 NPC233649
0.8108 Intermediate Similarity NPC470028
0.75 Intermediate Similarity NPC134967
0.7024 Intermediate Similarity NPC55384
0.6548 Remote Similarity NPC470029
0.6092 Remote Similarity NPC476839
0.6092 Remote Similarity NPC476838
0.5833 Remote Similarity NPC473065
0.5698 Remote Similarity NPC473062
0.5581 Remote Similarity NPC476513
0.5517 Remote Similarity NPC473064
0.5506 Remote Similarity NPC476512
0.5455 Remote Similarity NPC92299
0.5393 Remote Similarity NPC476510
0.5385 Remote Similarity NPC228059
0.5238 Remote Similarity NPC156377
0.5213 Remote Similarity NPC310138
0.5106 Remote Similarity NPC114700

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC289609 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
NPD

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