Natural Product: NPC127235

Natural Product IDNPC127235
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 Shanzhiside
IUPAC Name (1S,4aS,5R,7S,7aS)-5,7-dihydroxy-7-methyl-1-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy-4a,5,6,7a-tetrahydro-1H-cyclopenta[c]pyran-4-carboxylic acid
Synonyms Shanzhiside
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL518392
PubChem CID 11948668
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0004081] Iridoid O-glycosides

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 YSIFYNVXJOGADM-KDYWOABDSA-N
Standard InCHI InChI=1S/C16H24O11/c1-16(24)2-6(18)8-5(13(22)23)4-25-14(9(8)16)27-15-12(21)11(20)10(19)7(3-17)26-15/h4,6-12,14-15,17-21,24H,2-3H2,1H3,(H,22,23)/t6-,7-,8+,9-,10-,11+,12-,14+,15+,16+/m1/s1
SMILES OC[C@H]1O[C@@H](O[C@@H]2OC=C([C@@H]3[C@H]2[C@@](C)(O)C[C@H]3O)C(=O)O)[C@@H]([C@H]([C@@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   392.13 Volume:   351.042
?
Van der Waals volume.
Dense:   1.117 LogP:   -1.64
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.356
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -0.449
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   17.0
TPSA:   186.37
?
Topological Polar Surface Area.
 H-Bond Acceptor:   11.0
H-Bond Donor:   7.0 Rings:   3.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.256 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.894 Fsp3:   0.812
MCE-18:   63.448
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.344 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.051
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.005
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.261 Promiscuous compounds:   0.47

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.453 MDCK Permeability:   -5.235
Pgp-inhibitor:   0.0 Pgp-substrate:   0.68
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):   0.984
20% Bioavailability (F20%):   0.335 30% Bioavailability (F30%):   0.949
50% Bioavailability (F50%):   0.854

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.808
Plasma Protein Binding (PPB):   29.54% Volume Distribution (VD):   -0.634
Fu: 72.454%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.995
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.0
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:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.001
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):  1.314 Half-life (T1/2):  3.182

ADMET: Toxicity

hERG Blockers:  0.005 hERG Blockers (10um):  0.011
Human Hepatotoxicity (H-HT):  0.593 Drug-induced Liver Injury (DILI):  0.93
AMES Toxicity:  0.782 Rat Oral Acute Toxicity:  0.024
Maximum Recommended Daily Dose:  0.01 Skin Sensitization:  0.998
Carcinogencity:  0.247 Eye Corrosion:  0.0
Eye Irritation:  0.443 Respiratory Toxicity:  0.018
Drug-induced Neurotoxicity:  0.007 Ototoxicity:  0.983
Hematotoxicity:  0.526 Drug-induced Nephrotoxicity:  0.939
Genotoxicity:  0.415 RPMI-8226 Immunitoxicity:  0.05
A549 Cytotoxicity:  0.032 Hek293 Cytotoxicity:  0.03
BCF:   0.041
?
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:   2.26
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   3.901
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   3.142
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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
NPO9518 Gardenia jasminoides Species Rubiaceae Eukaryota Fruits n.a. n.a. PMID[16309325]
NPO9518 Gardenia jasminoides Species Rubiaceae Eukaryota n.a. Seoul, Korea 2000-Jun PMID[16643034]
NPO9518 Gardenia jasminoides Species Rubiaceae Eukaryota fruit n.a. n.a. PMID[18505286]
NPO9518 Gardenia jasminoides Species Rubiaceae Eukaryota fruit n.a. n.a. PMID[19650637]
NPO9518 Gardenia jasminoides Species Rubiaceae Eukaryota fruits n.a. n.a. PMID[23305920]
NPO5652 Barleria lupulina Species Acanthaceae Eukaryota aerial part purchased in Vung Tau, Vietnam 2012-MAR PMID[25611215]
NPO9518 Gardenia jasminoides Species Rubiaceae Eukaryota n.a. n.a. n.a. PMID[32141747]
NPO9518 Gardenia jasminoides Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5652 Barleria lupulina Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9518 Gardenia jasminoides Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5652 Barleria lupulina Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9518 Gardenia jasminoides Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5652 Barleria lupulina Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9518 Gardenia jasminoides Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9518 Gardenia jasminoides Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO5652 Barleria lupulina Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9518 Gardenia jasminoides Species Rubiaceae 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 NPC127235 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
0.6349 Remote Similarity NPC287539
0.6349 Remote Similarity NPC3488
0.6 Remote Similarity NPC161293
0.6 Remote Similarity NPC241911
0.5938 Remote Similarity NPC600174
0.5902 Remote Similarity NPC259296
0.5902 Remote Similarity NPC98276
0.5857 Remote Similarity NPC28304
0.5857 Remote Similarity NPC77262
0.5606 Remote Similarity NPC606871
0.5405 Remote Similarity NPC484096
0.5342 Remote Similarity NPC474285
0.5294 Remote Similarity NPC148270

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC127235 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
NPD

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