Natural Product: NPC329807

Natural Product IDNPC329807
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JKRZRTFNWXVFSX-WNLSPDAWSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 46881047
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 JKRZRTFNWXVFSX-WNLSPDAWSA-N
Standard InCHI InChI=1S/C66H108O34/c1-23-8-13-66(88-19-23)24(2)38-33(100-66)15-30-28-7-6-26-14-27(9-11-64(26,4)29(28)10-12-65(30,38)5)90-53-36(18-69)93-59(50(53)83)87-22-37-41(74)44(77)47(80)62(94-37)95-51-32(71)21-86-60(49(51)82)97-54-42(75)34(16-67)92-63(56(54)99-58-45(78)40(73)31(70)20-85-58)96-52-35(17-68)91-57(84)55(48(52)81)98-61-46(79)43(76)39(72)25(3)89-61/h23-63,67-84H,6-22H2,1-5H3/t23-,24-,25-,26-,27-,28+,29-,30-,31-,32+,33-,34+,35+,36-,37+,38-,39-,40-,41+,42+,43+,44-,45+,46+,47+,48-,49+,50+,51-,52-,53-,54-,55+,56+,57+,58-,59+,60-,61-,62-,63-,64-,65-,66+/m0/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[C@]34C)O[C@H]3[C@H](CO)O[C@H]([C@@H]3O)OC[C@@H]3[C@H]([C@@H]([C@H]([C@@H](O3)O[C@H]3[C@@H](CO[C@H]([C@@H]3O)O[C@H]3[C@@H]([C@@H](CO)O[C@H]([C@@H]3O[C@H]3[C@@H]([C@H]([C@H](CO3)O)O)O)O[C@H]3[C@@H](CO)O[C@H]([C@@H]([C@H]3O)O[C@H]3[C@@H]([C@@H]([C@H]([C@H](C)O3)O)O)O)O)O)O)O)O)O)O2)OC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1444.67 Volume:   1337.725
?
Van der Waals volume.
Dense:   1.08 LogP:   -0.086
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.762
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.129
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   18.0 Rigid Bonds:   71.0
TPSA:   511.82
?
Topological Polar Surface Area.
H-Bond Acceptor:   34.0
H-Bond Donor:   18.0 Rings:   13.0
Heavy Atoms:   34.0

MedChem Properties

QED Drug-Likeness Score:   0.061 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.225 Fsp3:   1.0
MCE-18:   343.864
?
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:   0.619 Fluc inhibitor:   0.333
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.009
?
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:   0.465 Promiscuous compounds:   0.07

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -7.61 MDCK Permeability:   -4.505
Pgp-inhibitor:   0.0 Pgp-substrate:   0.997
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):   0.52
20% Bioavailability (F20%):   0.294 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.0
Plasma Protein Binding (PPB):   29.258% Volume Distribution (VD):   -0.414
Fu: 43.102%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.008
BSEP inhibitor:   0.0

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:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.006
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):  -1.148 Half-life (T1/2):  3.835

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.003
Human Hepatotoxicity (H-HT):  0.548 Drug-induced Liver Injury (DILI):  0.996
AMES Toxicity:  0.978 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.003 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.655 Drug-induced Nephrotoxicity:  0.995
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.573
A549 Cytotoxicity:  0.985 Hek293 Cytotoxicity:  0.841
BCF:   1.257
?
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:   3.415
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.738
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.716
?
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
NPO40067 Chlorophytum orchidastrum Species Asparagaceae Eukaryota n.a. n.a. n.a. PMID[20028106]

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
NPT393 Cell line HCT-116 Homo sapiens IC50 = 1600.0 nM PMID[20028106]
NPT139 Cell line HT-29 Homo sapiens IC50 = 1500.0 nM PMID[20028106]

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 NPC329807 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
0.9669 High Similarity NPC329727
0.9587 High Similarity NPC481189
0.888 High Similarity NPC329820
0.7097 Intermediate Similarity NPC232037
0.7063 Intermediate Similarity NPC132080
0.6985 Remote Similarity NPC330026
0.6774 Remote Similarity NPC97700
0.6774 Remote Similarity NPC30856
0.6694 Remote Similarity NPC475351
0.6667 Remote Similarity NPC481190
0.6641 Remote Similarity NPC470866
0.6508 Remote Similarity NPC184617
0.6357 Remote Similarity NPC116756
0.6343 Remote Similarity NPC94086
0.6343 Remote Similarity NPC473817
0.6336 Remote Similarity NPC476112
0.6336 Remote Similarity NPC83137
0.6336 Remote Similarity NPC307534
0.6324 Remote Similarity NPC220836
0.626 Remote Similarity NPC470864
0.6231 Remote Similarity NPC475625
0.6116 Remote Similarity NPC206003
0.6116 Remote Similarity NPC473610
0.6094 Remote Similarity NPC51172
0.6094 Remote Similarity NPC49032
0.6077 Remote Similarity NPC115165
0.6045 Remote Similarity NPC233433
0.5984 Remote Similarity NPC473601
0.5954 Remote Similarity NPC475319
0.5917 Remote Similarity NPC177834
0.5902 Remote Similarity NPC250393
0.5725 Remote Similarity NPC471464
0.5714 Remote Similarity NPC480556
0.5704 Remote Similarity NPC232611
0.5704 Remote Similarity NPC210569
0.5682 Remote Similarity NPC128572
0.568 Remote Similarity NPC19400
0.5669 Remote Similarity NPC6295
0.563 Remote Similarity NPC473518
0.562 Remote Similarity NPC470862
0.561 Remote Similarity NPC234352
0.5547 Remote Similarity NPC125324
0.5468 Remote Similarity NPC84111
0.5468 Remote Similarity NPC287483
0.5468 Remote Similarity NPC470865
0.5455 Remote Similarity NPC473505
0.5455 Remote Similarity NPC602423
0.5448 Remote Similarity NPC151134
0.544 Remote Similarity NPC477451
0.5435 Remote Similarity NPC108072
0.5433 Remote Similarity NPC211354
0.5429 Remote Similarity NPC31896
0.5403 Remote Similarity NPC325828
0.5379 Remote Similarity NPC15918
0.5374 Remote Similarity NPC305771
0.5374 Remote Similarity NPC263359
0.5374 Remote Similarity NPC94072
0.5374 Remote Similarity NPC169816
0.5373 Remote Similarity NPC300557
0.5349 Remote Similarity NPC107962
0.5347 Remote Similarity NPC224314
0.5344 Remote Similarity NPC160426
0.5312 Remote Similarity NPC107188
0.529 Remote Similarity NPC475333
0.529 Remote Similarity NPC224098
0.529 Remote Similarity NPC208383
0.5271 Remote Similarity NPC264101
0.5245 Remote Similarity NPC470867
0.5231 Remote Similarity NPC215408
0.5214 Remote Similarity NPC480554
0.5182 Remote Similarity NPC98018
0.5182 Remote Similarity NPC284104
0.5182 Remote Similarity NPC103616
0.518 Remote Similarity NPC309278
0.5159 Remote Similarity NPC297348
0.5159 Remote Similarity NPC249204
0.5159 Remote Similarity NPC48339
0.5159 Remote Similarity NPC141769
0.5159 Remote Similarity NPC477547
0.5141 Remote Similarity NPC480553
0.5141 Remote Similarity NPC477811
0.5108 Remote Similarity NPC470863
0.5076 Remote Similarity NPC485595
0.5072 Remote Similarity NPC294129
0.5067 Remote Similarity NPC244431
0.5038 Remote Similarity NPC195297

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC329807 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
0.5403 Remote Similarity NPD8171 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