Natural Product: NPC298107

Natural Product IDNPC298107
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
BLVUULSAXPAVHB-JWKXWJMNSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44255062
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 BLVUULSAXPAVHB-JWKXWJMNSA-N
Standard InCHI InChI=1S/C39H62O14/c1-17-7-10-39(48-16-17)18(2)28-24(53-39)12-23-21-6-5-19-11-20(8-9-37(19,3)22(21)13-27(42)38(23,28)4)49-36-33(47)34(30(44)26(15-41)51-36)52-35-32(46)31(45)29(43)25(14-40)50-35/h17-26,28-36,40-41,43-47H,5-16H2,1-4H3/t17-,18+,19-,20+,21-,22+,23+,24+,25-,26-,28+,29-,30+,31+,32-,33-,34+,35+,36-,37+,38-,39-/m1/s1
SMILES C[C@@H]1CC[C@@]2([C@@H](C)[C@H]3[C@H](C[C@H]4[C@@H]5CC[C@@H]6C[C@H](CC[C@]6(C)[C@H]5CC(=O)[C@]34C)O[C@H]3[C@@H]([C@H]([C@H]([C@@H](CO)O3)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:   754.41 Volume:   735.075
?
Van der Waals volume.
Dense:   1.026 LogP:   1.54
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.239
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.955
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   43.0
TPSA:   214.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   7.0 Rings:   8.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.185 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.326 Fsp3:   0.974
MCE-18:   203.052
?
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:   0.73 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.011
?
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:   0.182 Promiscuous compounds:   0.176

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.989 MDCK Permeability:   -5.101
Pgp-inhibitor:   0.043 Pgp-substrate:   0.172
PAMPA:   0.906
?
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):   0.001
20% Bioavailability (F20%):   0.025 30% Bioavailability (F30%):   0.931
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.079
Plasma Protein Binding (PPB):   52.341% Volume Distribution (VD):   -0.46
Fu: 45.069%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.37
BSEP inhibitor:   0.751

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.991 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.007
CYP3A4-inhibitor:   0.993 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.812
HLM stability:   0.728
?
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):  1.001 Half-life (T1/2):  2.316

ADMET: Toxicity

hERG Blockers:  0.021 hERG Blockers (10um):  0.054
Human Hepatotoxicity (H-HT):  0.706 Drug-induced Liver Injury (DILI):  0.993
AMES Toxicity:  0.969 Rat Oral Acute Toxicity:  0.038
Maximum Recommended Daily Dose:  0.054 Skin Sensitization:  1.0
Carcinogencity:  0.307 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.01
Drug-induced Neurotoxicity:  0.013 Ototoxicity:  0.996
Hematotoxicity:  0.498 Drug-induced Nephrotoxicity:  0.777
Genotoxicity:  0.024 RPMI-8226 Immunitoxicity:  0.311
A549 Cytotoxicity:  0.983 Hek293 Cytotoxicity:  0.954
BCF:   1.069
?
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:   3.261
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.451
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.769
?
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
NPO16699 Agave utahensis Species Asparagaceae Eukaryota n.a. n.a. n.a. PMID[19645463]
NPO16699 Agave utahensis Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16699 Agave utahensis 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 NPC298107 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
0.8256 Intermediate Similarity NPC234352
0.781 Intermediate Similarity NPC220836
0.7708 Intermediate Similarity NPC92890
0.7524 Intermediate Similarity NPC94086
0.7524 Intermediate Similarity NPC473817
0.74 Intermediate Similarity NPC475319
0.734 Intermediate Similarity NPC215408
0.7143 Intermediate Similarity NPC233433
0.6961 Remote Similarity NPC184617
0.6634 Remote Similarity NPC202898
0.6596 Remote Similarity NPC297348
0.6596 Remote Similarity NPC325828
0.6596 Remote Similarity NPC249204
0.6596 Remote Similarity NPC48339
0.6596 Remote Similarity NPC141769
0.6596 Remote Similarity NPC477547
0.6514 Remote Similarity NPC132080
0.6495 Remote Similarity NPC206003
0.6495 Remote Similarity NPC473610
0.6481 Remote Similarity NPC108072
0.6449 Remote Similarity NPC475625
0.63 Remote Similarity NPC107962
0.6289 Remote Similarity NPC477451
0.6275 Remote Similarity NPC14704
0.6263 Remote Similarity NPC211354
0.6263 Remote Similarity NPC107188
0.6239 Remote Similarity NPC232037
0.6186 Remote Similarity NPC305771
0.6186 Remote Similarity NPC94072
0.6186 Remote Similarity NPC169816
0.6182 Remote Similarity NPC470864
0.6078 Remote Similarity NPC6295
0.6058 Remote Similarity NPC475351
0.5962 Remote Similarity NPC160426
0.5932 Remote Similarity NPC15918
0.5918 Remote Similarity NPC177834
0.5913 Remote Similarity NPC470866
0.5876 Remote Similarity NPC485594
0.5872 Remote Similarity NPC97700
0.5872 Remote Similarity NPC30856
0.5847 Remote Similarity NPC273002
0.5843 Remote Similarity NPC161035
0.5843 Remote Similarity NPC170438
0.5784 Remote Similarity NPC19400
0.5743 Remote Similarity NPC250393
0.5657 Remote Similarity NPC181845
0.5652 Remote Similarity NPC480553
0.5636 Remote Similarity NPC128572
0.5619 Remote Similarity NPC125324
0.5545 Remote Similarity NPC249553
0.5545 Remote Similarity NPC294686
0.5545 Remote Similarity NPC182900
0.55 Remote Similarity NPC473505
0.5478 Remote Similarity NPC480554
0.5431 Remote Similarity NPC476112
0.5431 Remote Similarity NPC307534
0.5364 Remote Similarity NPC475643
0.5354 Remote Similarity NPC24960
0.5304 Remote Similarity NPC116756
0.5288 Remote Similarity NPC222731
0.5268 Remote Similarity NPC51172
0.5268 Remote Similarity NPC49032
0.5254 Remote Similarity NPC92297
0.5188 Remote Similarity NPC481189
0.5169 Remote Similarity NPC470862
0.5164 Remote Similarity NPC480556
0.5143 Remote Similarity NPC474399
0.5138 Remote Similarity NPC195297
0.5135 Remote Similarity NPC473601
0.5133 Remote Similarity NPC471464
0.5133 Remote Similarity NPC300557
0.5116 Remote Similarity NPC481190
0.5096 Remote Similarity NPC131693
0.5096 Remote Similarity NPC475436
0.5091 Remote Similarity NPC113044
0.5091 Remote Similarity NPC283829
0.5091 Remote Similarity NPC161676
0.5086 Remote Similarity NPC470863
0.5051 Remote Similarity NPC277715
0.5046 Remote Similarity NPC485595
0.5044 Remote Similarity NPC477809

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC298107 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
0.6596 Remote Similarity NPD8171 Phase 2
0.6238 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