Natural Product: NPC227682

Natural Product IDNPC227682
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MIWWXVRRXZVTMU-ZFPKZURZSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 21573764
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 MIWWXVRRXZVTMU-ZFPKZURZSA-N
Standard InCHI InChI=1S/C51H83NO21/c1-20-8-13-51(52-16-20)21(2)32-28(73-51)15-27-25-7-6-23-14-24(9-11-49(23,4)26(25)10-12-50(27,32)5)67-48-44(72-46-41(63)37(59)33(55)22(3)66-46)43(36(58)30(18-54)69-48)71-47-42(64)39(61)35(57)31(70-47)19-65-45-40(62)38(60)34(56)29(17-53)68-45/h6,20-22,24-48,52-64H,7-19H2,1-5H3/t20-,21+,22+,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-/m1/s1
SMILES C[C@@H]1CC[C@@]2([C@@H](C)[C@H]3[C@H](C[C@H]4[C@@H]5CC=C6C[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[C@H]3[C@@H]([C@H]([C@@H]([C@@H](CO[C@H]4[C@@H]([C@H]([C@@H]([C@@H](CO)O4)O)O)O)O3)O)O)O)O[C@H]3[C@@H]([C@@H]([C@H]([C@H](C)O3)O)O)O)O2)NC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1045.55 Volume:   998.042
?
Van der Waals volume.
Dense:   1.048 LogP:   1.055
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.972
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.221
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   54.0
TPSA:   337.86
?
Topological Polar Surface Area.
H-Bond Acceptor:   22.0
H-Bond Donor:   13.0 Rings:   10.0
Heavy Atoms:   22.0

MedChem Properties

QED Drug-Likeness Score:   0.096 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.235 Fsp3:   0.961
MCE-18:   259.76
?
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:   0.698 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
?
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:   0.019 Promiscuous compounds:   0.014

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.478 MDCK Permeability:   -5.13
Pgp-inhibitor:   0.0 Pgp-substrate:   0.935
PAMPA:   0.999
?
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%):   0.03 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.016
Plasma Protein Binding (PPB):   50.561% Volume Distribution (VD):   -0.38
Fu: 33.674%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.019
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:   0.022 CYP3A4-substrate:   0.007
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.012
HLM stability:   0.006
?
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):  -0.194 Half-life (T1/2):  3.224

ADMET: Toxicity

hERG Blockers:  0.01 hERG Blockers (10um):  0.013
Human Hepatotoxicity (H-HT):  0.372 Drug-induced Liver Injury (DILI):  0.89
AMES Toxicity:  0.988 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.001 Skin Sensitization:  1.0
Carcinogencity:  0.017 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.322 Drug-induced Nephrotoxicity:  0.882
Genotoxicity:  0.006 RPMI-8226 Immunitoxicity:  0.418
A549 Cytotoxicity:  0.981 Hek293 Cytotoxicity:  0.869
BCF:   1.642
?
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:   3.362
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.514
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.862
?
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
NPO28503 Gochnatia argentina Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28727 Nocardia asteroides Species Nocardiaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO28327 Tarchonanthus trilobus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28681 Angelica glabra Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28681 Angelica glabra Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28503 Gochnatia argentina Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28909 Haemanthus katherinae Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28681 Angelica glabra Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28727 Nocardia asteroides Species Nocardiaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO28838 Tephrosia strigosa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1061 Gymnoascus dankaliensis Species Gymnoascaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29442 Fagara okinawensis n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO29309 Senecio pulviniformis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28327 Tarchonanthus trilobus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28856 Baccharis indica Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28779 Chryseobacterium scophthalmum Species Flavobacteriaceae Bacteria 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 NPC227682 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
0.9091 High Similarity NPC150057
0.9091 High Similarity NPC147753
0.7522 Intermediate Similarity NPC287885
0.7315 Intermediate Similarity NPC122819
0.7238 Intermediate Similarity NPC15249
0.7238 Intermediate Similarity NPC25455
0.6814 Remote Similarity NPC102016
0.6814 Remote Similarity NPC95051
0.6638 Remote Similarity NPC309278
0.6525 Remote Similarity NPC218571
0.6525 Remote Similarity NPC487615
0.6491 Remote Similarity NPC300557
0.6316 Remote Similarity NPC602423
0.5812 Remote Similarity NPC98696
0.5702 Remote Similarity NPC73243
0.5702 Remote Similarity NPC244086
0.5702 Remote Similarity NPC84956
0.5667 Remote Similarity NPC48886
0.5667 Remote Similarity NPC94881
0.561 Remote Similarity NPC247037
0.5537 Remote Similarity NPC6806
0.552 Remote Similarity NPC194207
0.552 Remote Similarity NPC22779
0.5512 Remote Similarity NPC477811
0.5492 Remote Similarity NPC475182
0.5481 Remote Similarity NPC485606
0.5476 Remote Similarity NPC249265
0.547 Remote Similarity NPC94272
0.5433 Remote Similarity NPC23808
0.5433 Remote Similarity NPC87998
0.5391 Remote Similarity NPC480553
0.5378 Remote Similarity NPC305423
0.5378 Remote Similarity NPC113044
0.5378 Remote Similarity NPC283829
0.5378 Remote Similarity NPC161676
0.5366 Remote Similarity NPC480555
0.5366 Remote Similarity NPC150372
0.5338 Remote Similarity NPC477808
0.5308 Remote Similarity NPC232054
0.5271 Remote Similarity NPC256983
0.525 Remote Similarity NPC14704
0.5234 Remote Similarity NPC480554
0.5188 Remote Similarity NPC480556
0.5161 Remote Similarity NPC42171
0.5143 Remote Similarity NPC147835
0.5143 Remote Similarity NPC253645
0.5143 Remote Similarity NPC85001
0.5143 Remote Similarity NPC95920
0.5126 Remote Similarity NPC295980
0.5122 Remote Similarity NPC470433
0.5122 Remote Similarity NPC46190
0.5122 Remote Similarity NPC171073
0.5115 Remote Similarity NPC308140
0.5115 Remote Similarity NPC31896
0.5083 Remote Similarity NPC470432
0.5083 Remote Similarity NPC230507
0.5081 Remote Similarity NPC248746
0.5078 Remote Similarity NPC475333
0.5078 Remote Similarity NPC224098
0.5078 Remote Similarity NPC208383
0.5074 Remote Similarity NPC210569
0.5072 Remote Similarity NPC263359
0.5044 Remote Similarity NPC296686
0.5038 Remote Similarity NPC262050

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC227682 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
0.9091 High Similarity NPD8450 Suspended
0.7315 Intermediate Similarity NPD8449 Approved

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