Natural Product: NPC188996

Natural Product IDNPC188996
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FZEHHXRFTMAICH-DCZAGIEQSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101672280
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

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 FZEHHXRFTMAICH-DCZAGIEQSA-N
Standard InCHI InChI=1S/C39H64O14/c1-17-7-12-39(48-16-17)18(2)25-33(53-39)29(44)26-21-6-5-19-13-20(8-10-37(19,3)22(21)9-11-38(25,26)4)49-36-34(31(46)28(43)24(15-41)51-36)52-35-32(47)30(45)27(42)23(14-40)50-35/h17-36,40-47H,5-16H2,1-4H3/t17-,18-,19+,20-,21+,22-,23+,24+,25-,26+,27+,28-,29+,30-,31-,32+,33+,34+,35-,36+,37-,38+,39+/m0/s1
SMILES C[C@H]1CC[C@@]2([C@@H](C)[C@H]3[C@H]([C@@H]([C@H]4[C@@H]5CC[C@@H]6C[C@H](CC[C@]6(C)[C@H]5CC[C@]34C)O[C@H]3[C@@H]([C@H]([C@H]([C@@H](CO)O3)O)O)O[C@H]3[C@@H]([C@H]([C@@H]([C@@H](CO)O3)O)O)O)O)O2)OC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   756.43 Volume:   737.711
?
Van der Waals volume.
Dense:   1.025 LogP:   2.008
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.854
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.648
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   42.0
TPSA:   217.22
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   8.0 Rings:   8.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.173 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.352 Fsp3:   1.0
MCE-18:   203.846
?
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:   0.736 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:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.228 Promiscuous compounds:   0.038

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.036 MDCK Permeability:   -5.071
Pgp-inhibitor:   0.0 Pgp-substrate:   0.125
PAMPA:   0.996
?
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):   0.012
20% Bioavailability (F20%):   0.711 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.018 MRP1:   0.168
Plasma Protein Binding (PPB):   60.15% Volume Distribution (VD):   -0.393
Fu: 33.312%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.052
BSEP inhibitor:   0.015

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.008 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.006 CYP3A4-substrate:   0.99
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.042
HLM stability:   0.004
?
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):  0.905 Half-life (T1/2):  2.615

ADMET: Toxicity

hERG Blockers:  0.014 hERG Blockers (10um):  0.057
Human Hepatotoxicity (H-HT):  0.72 Drug-induced Liver Injury (DILI):  0.99
AMES Toxicity:  0.938 Rat Oral Acute Toxicity:  0.011
Maximum Recommended Daily Dose:  0.012 Skin Sensitization:  1.0
Carcinogencity:  0.323 Eye Corrosion:  0.0
Eye Irritation:  0.01 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.991
Hematotoxicity:  0.529 Drug-induced Nephrotoxicity:  0.847
Genotoxicity:  0.01 RPMI-8226 Immunitoxicity:  0.254
A549 Cytotoxicity:  0.95 Hek293 Cytotoxicity:  0.863
BCF:   1.538
?
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:   3.348
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.42
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.835
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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
NPO26741 Anemarrhena asphodeloides Species Asparagaceae Eukaryota rhizomes n.a. n.a. PMID[19757853]
NPO26741 Anemarrhena asphodeloides Species Asparagaceae Eukaryota n.a. rhizome n.a. PMID[21370894]
NPO26741 Anemarrhena asphodeloides Species Asparagaceae Eukaryota Rhizomes n.a. n.a. PMID[8482946]
NPO26741 Anemarrhena asphodeloides Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26741 Anemarrhena asphodeloides Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26741 Anemarrhena asphodeloides Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26741 Anemarrhena asphodeloides Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO26741 Anemarrhena asphodeloides Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO26741 Anemarrhena asphodeloides Species Asparagaceae 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 NPC188996 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
0.8095 Intermediate Similarity NPC297348
0.8095 Intermediate Similarity NPC249204
0.8095 Intermediate Similarity NPC48339
0.8095 Intermediate Similarity NPC141769
0.8095 Intermediate Similarity NPC477547
0.7701 Intermediate Similarity NPC477451
0.7283 Intermediate Similarity NPC107962
0.7253 Intermediate Similarity NPC211354
0.6863 Remote Similarity NPC13193
0.6848 Remote Similarity NPC474399
0.6774 Remote Similarity NPC206003
0.6774 Remote Similarity NPC473610
0.6667 Remote Similarity NPC6295
0.663 Remote Similarity NPC294686
0.6531 Remote Similarity NPC160426
0.6452 Remote Similarity NPC234352
0.6436 Remote Similarity NPC92890
0.6354 Remote Similarity NPC19400
0.6344 Remote Similarity NPC325828
0.6316 Remote Similarity NPC222731
0.63 Remote Similarity NPC475351
0.6154 Remote Similarity NPC128572
0.6105 Remote Similarity NPC291203
0.6105 Remote Similarity NPC217205
0.6075 Remote Similarity NPC475625
0.604 Remote Similarity NPC113044
0.604 Remote Similarity NPC283829
0.604 Remote Similarity NPC161676
0.602 Remote Similarity NPC107188
0.5943 Remote Similarity NPC184617
0.5865 Remote Similarity NPC475643
0.5842 Remote Similarity NPC125324
0.5794 Remote Similarity NPC97700
0.5794 Remote Similarity NPC30856
0.5784 Remote Similarity NPC141433
0.5758 Remote Similarity NPC128123
0.57 Remote Similarity NPC54619
0.567 Remote Similarity NPC177834
0.566 Remote Similarity NPC477809
0.5625 Remote Similarity NPC485594
0.5607 Remote Similarity NPC471464
0.5596 Remote Similarity NPC475319
0.5575 Remote Similarity NPC132080
0.5534 Remote Similarity NPC485595
0.55 Remote Similarity NPC250393
0.5481 Remote Similarity NPC195297
0.5463 Remote Similarity NPC51172
0.5463 Remote Similarity NPC49032
0.54 Remote Similarity NPC210157
0.531 Remote Similarity NPC232037
0.5273 Remote Similarity NPC480555
0.5273 Remote Similarity NPC150372
0.5263 Remote Similarity NPC470864
0.5258 Remote Similarity NPC24960
0.5253 Remote Similarity NPC181845
0.5221 Remote Similarity NPC116756
0.5196 Remote Similarity NPC292467
0.5185 Remote Similarity NPC473601
0.5182 Remote Similarity NPC300557
0.5172 Remote Similarity NPC233433
0.5143 Remote Similarity NPC485601
0.5046 Remote Similarity NPC40440
0.5045 Remote Similarity NPC274200
0.5043 Remote Similarity NPC480553
0.5042 Remote Similarity NPC470866

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC188996 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
0.6344 Remote Similarity NPD8171 Phase 2
0.5385 Remote Similarity NPD8170 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