Natural Product: NPC111955

Natural Product IDNPC111955
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MOSQNTRCEDPVHL-SGNRALSYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102004848
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 MOSQNTRCEDPVHL-SGNRALSYSA-N
Standard InCHI InChI=1S/C57H92O25/c1-21(20-72-51-43(67)41(65)38(62)33(18-58)78-51)8-11-31-22(2)35-32(77-31)17-30-28-10-9-26-16-27(12-14-56(26,6)29(28)13-15-57(30,35)7)76-55-50(82-53-45(69)40(64)37(61)24(4)74-53)47(71)49(34(19-59)79-55)81-54-46(70)42(66)48(25(5)75-54)80-52-44(68)39(63)36(60)23(3)73-52/h9,21,23-25,27-30,32-55,58-71H,8,10-20H2,1-7H3/t21-,23-,24-,25-,27-,28+,29-,30-,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-/m0/s1
SMILES C[C@@H](CCC1=C(C)[C@H]2[C@H](C[C@H]3[C@@H]4CC=C5C[C@H](CC[C@]5(C)[C@H]4CC[C@]23C)O[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O[C@H]2[C@@H]([C@@H]([C@H]([C@H](C)O2)O[C@H]2[C@@H]([C@@H]([C@H]([C@H](C)O2)O)O)O)O)O)O)O[C@H]2[C@@H]([C@@H]([C@H]([C@H](C)O2)O)O)O)O1)CO[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1176.59 Volume:   1123.346
?
Van der Waals volume.
Dense:   1.047 LogP:   0.621
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.349
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.754
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   16.0 Rigid Bonds:   54.0
TPSA:   384.75
?
Topological Polar Surface Area.
H-Bond Acceptor:   25.0
H-Bond Donor:   14.0 Rings:   10.0
Heavy Atoms:   25.0

MedChem Properties

QED Drug-Likeness Score:   0.073 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.172 Fsp3:   0.93
MCE-18:   193.636
?
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:   0.665 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.001
?
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:   0.347 Promiscuous compounds:   0.115

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.885 MDCK Permeability:   -4.987
Pgp-inhibitor:   0.0 Pgp-substrate:   0.995
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):   0.099
20% Bioavailability (F20%):   0.035 30% Bioavailability (F30%):   0.982
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.014
Plasma Protein Binding (PPB):   58.197% Volume Distribution (VD):   -0.296
Fu: 28.608%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.005
BSEP inhibitor:   0.001

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:   0.961 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.998
HLM stability:   0.302
?
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):  -0.753 Half-life (T1/2):  3.944

ADMET: Toxicity

hERG Blockers:  0.007 hERG Blockers (10um):  0.027
Human Hepatotoxicity (H-HT):  0.333 Drug-induced Liver Injury (DILI):  0.902
AMES Toxicity:  0.946 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.001 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.311 Drug-induced Nephrotoxicity:  0.821
Genotoxicity:  0.001 RPMI-8226 Immunitoxicity:  0.336
A549 Cytotoxicity:  0.87 Hek293 Cytotoxicity:  0.502
BCF:   1.751
?
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:   3.577
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.917
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.147
?
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
NPO27472 Daiswa polyphylla Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27472 Daiswa polyphylla Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27472 Daiswa polyphylla Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO27472 Daiswa polyphylla Species Melanthiaceae 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 NPC111955 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 NPC308140
0.7818 Intermediate Similarity NPC23808
0.7818 Intermediate Similarity NPC87998
0.7339 Intermediate Similarity NPC475182
0.7297 Intermediate Similarity NPC247037
0.7273 Intermediate Similarity NPC73243
0.7273 Intermediate Similarity NPC244086
0.7273 Intermediate Similarity NPC84956
0.7018 Intermediate Similarity NPC194207
0.7018 Intermediate Similarity NPC22779
0.6991 Remote Similarity NPC269297
0.6991 Remote Similarity NPC222202
0.6957 Remote Similarity NPC249265
0.6759 Remote Similarity NPC94272
0.6726 Remote Similarity NPC480555
0.6726 Remote Similarity NPC150372
0.6723 Remote Similarity NPC232054
0.6581 Remote Similarity NPC254255
0.6552 Remote Similarity NPC486386
0.6504 Remote Similarity NPC224314
0.646 Remote Similarity NPC470433
0.646 Remote Similarity NPC46190
0.646 Remote Similarity NPC171073
0.6356 Remote Similarity NPC475333
0.6356 Remote Similarity NPC224098
0.6356 Remote Similarity NPC208383
0.6281 Remote Similarity NPC480553
0.6239 Remote Similarity NPC128123
0.6228 Remote Similarity NPC98696
0.6121 Remote Similarity NPC248746
0.6116 Remote Similarity NPC480554
0.6102 Remote Similarity NPC102016
0.6102 Remote Similarity NPC95051
0.6094 Remote Similarity NPC208832
0.6083 Remote Similarity NPC32361
0.6032 Remote Similarity NPC480556
0.5983 Remote Similarity NPC122819
0.5932 Remote Similarity NPC42171
0.5854 Remote Similarity NPC218571
0.5854 Remote Similarity NPC487615
0.5833 Remote Similarity NPC165439
0.582 Remote Similarity NPC309278
0.5798 Remote Similarity NPC6806
0.5739 Remote Similarity NPC306991
0.5714 Remote Similarity NPC287885
0.5714 Remote Similarity NPC486118
0.5691 Remote Similarity NPC13193
0.5678 Remote Similarity NPC486388
0.5667 Remote Similarity NPC124677
0.5641 Remote Similarity NPC113044
0.5641 Remote Similarity NPC283829
0.5641 Remote Similarity NPC161676
0.5603 Remote Similarity NPC470432
0.5603 Remote Similarity NPC230507
0.5583 Remote Similarity NPC477809
0.5537 Remote Similarity NPC300557
0.55 Remote Similarity NPC265275
0.5455 Remote Similarity NPC477808
0.5426 Remote Similarity NPC475357
0.5378 Remote Similarity NPC305423
0.5372 Remote Similarity NPC602423
0.5354 Remote Similarity NPC92710
0.528 Remote Similarity NPC148965
0.525 Remote Similarity NPC470748
0.521 Remote Similarity NPC15249
0.521 Remote Similarity NPC25455
0.521 Remote Similarity NPC6295
0.5194 Remote Similarity NPC486384
0.5179 Remote Similarity NPC486114
0.5154 Remote Similarity NPC477811
0.512 Remote Similarity NPC150057
0.512 Remote Similarity NPC147753
0.5118 Remote Similarity NPC475550
0.5088 Remote Similarity NPC181845
0.5076 Remote Similarity NPC486390

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC111955 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
0.5983 Remote Similarity NPD8449 Approved
0.512 Remote Similarity NPD8450 Suspended

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