Natural Product: NPC197294

Natural Product IDNPC197294
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Renieroside B1
IUPAC Name (Z,2R)-2-hydroxy-N-[(2S,3R,4E,8E,10E)-3-hydroxy-9-methyl-1-[(2R,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyoctadeca-4,8,10-trien-2-yl]octacos-21-enamide
Synonyms renieroside B1
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL253756
PubChem CID 23643541
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000257] Sphingolipids
        • [CHEMONTID:0003258] Glycosphingolipids
          • [CHEMONTID:0001419] Neutral glycosphingolipids
            • [CHEMONTID:0001428] Simple glycosylceramides
              • [CHEMONTID:0004305] Glycosyl-N-acylsphingosines

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 AGFKRWRLAJDUHQ-YHBZXAMRSA-N
Standard InCHI InChI=1S/C53H97NO9/c1-4-6-8-10-12-13-14-15-16-17-18-19-20-21-22-23-24-25-26-27-28-30-32-36-41-47(57)52(61)54-45(43-62-53-51(60)50(59)49(58)48(42-55)63-53)46(56)40-37-33-35-39-44(3)38-34-31-29-11-9-7-5-2/h13-14,34,37-40,45-51,53,55-60H,4-12,15-33,35-36,41-43H2,1-3H3,(H,54,61)/b14-13-,38-34+,40-37+,44-39+/t45-,46+,47+,48+,49+,50-,51+,53+/m0/s1
SMILES CCCCCC/C=CCCCCCCCCCCCCCCCCCC[C@H](C(=N[C@@H](CO[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)[C@@H](/C=C/CC/C=C(C)/C=C/CCCCCCC)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   891.72 Volume:   993.614
?
Van der Waals volume.
Dense:   0.897 LogP:   9.985
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   5.761
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.893
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The logarithm of aqueous solubility value.
Rotatable Bonds:   42.0 Rigid Bonds:   11.0
TPSA:   172.43
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Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   7.0 Rings:   1.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.01 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.397 Fsp3:   0.83
MCE-18:   27.34
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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:   0.827 Fluc inhibitor:   0.015
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.128
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.141 Promiscuous compounds:   0.07

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.319 MDCK Permeability:   -4.672
Pgp-inhibitor:   0.0 Pgp-substrate:   0.0
PAMPA:   0.0
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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):   0.944
20% Bioavailability (F20%):   0.992 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.107
Plasma Protein Binding (PPB):   97.532% Volume Distribution (VD):   -0.123
Fu: 0.7%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.99
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.803
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.629
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.134
CYP2C9-inhibitor:   0.013 CYP2C9-substrate:   0.022
CYP2D6-inhibitor:   0.995 CYP2D6-substrate:   0.761
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.02
?
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):  2.406 Half-life (T1/2):  4.417

ADMET: Toxicity

hERG Blockers:  0.597 hERG Blockers (10um):  0.605
Human Hepatotoxicity (H-HT):  0.799 Drug-induced Liver Injury (DILI):  0.003
AMES Toxicity:  0.048 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.095 Skin Sensitization:  1.0
Carcinogencity:  0.003 Eye Corrosion:  0.0
Eye Irritation:  0.227 Respiratory Toxicity:  0.613
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.947
Hematotoxicity:  0.018 Drug-induced Nephrotoxicity:  0.825
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.11
A549 Cytotoxicity:  0.999 Hek293 Cytotoxicity:  0.752
BCF:   0.182
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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:   5.502
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.272
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.037
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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
NPO33502 Haliclona sp. Species Chalinidae Eukaryota n.a. n.a. n.a. PMID[11575970]
NPO33502 Haliclona sp. Species Chalinidae Eukaryota n.a. n.a. n.a. PMID[17848089]
NPO33502 Haliclona sp. Species Chalinidae Eukaryota n.a. Pacific n.a. PMID[19133758]
NPO33502 Haliclona sp. Species Chalinidae Eukaryota n.a. Culasian Point, Leyte, Philippines (S 1119.00', E 12435.60') 1991-MAR PMID[22873824]
NPO33502 Haliclona sp. Species Chalinidae Eukaryota n.a. New Zealand n.a. PMID[24128145]
NPO33502 Haliclona sp. Species Chalinidae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT81 Cell line A549 Homo sapiens ED50 > 10.0 ug ml-1 PMID[23734721]
NPT147 Cell line SK-MEL-2 Homo sapiens ED50 > 10.0 ug ml-1 PMID[23398362]
NPT146 Cell line SK-OV-3 Homo sapiens ED50 > 10.0 ug ml-1 PMID[23398362]
NPT574 Cell line XF498 Homo sapiens ED50 > 10.0 ug ml-1 PMID[19487444]
NPT148 Cell line HCT-15 Homo sapiens ED50 > 10.0 ug ml-1 PMID[19487444]

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 NPC197294 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 NPC8098
1.0 High Similarity NPC183449
0.8714 High Similarity NPC45313
0.8636 High Similarity NPC263545
0.8636 High Similarity NPC473950
0.8636 High Similarity NPC111567
0.8636 High Similarity NPC186840
0.8636 High Similarity NPC144916
0.8636 High Similarity NPC486421
0.8636 High Similarity NPC309898
0.8636 High Similarity NPC273493
0.8636 High Similarity NPC475125
0.8636 High Similarity NPC486419
0.8636 High Similarity NPC15851
0.8636 High Similarity NPC115448
0.8636 High Similarity NPC20819
0.8636 High Similarity NPC486418
0.8636 High Similarity NPC473604
0.8636 High Similarity NPC486420
0.8636 High Similarity NPC479188
0.8636 High Similarity NPC81468
0.8261 Intermediate Similarity NPC158445
0.8261 Intermediate Similarity NPC157353
0.8261 Intermediate Similarity NPC282088
0.8116 Intermediate Similarity NPC156782
0.8116 Intermediate Similarity NPC54961
0.8028 Intermediate Similarity NPC3568
0.8028 Intermediate Similarity NPC17290
0.8028 Intermediate Similarity NPC192066
0.8028 Intermediate Similarity NPC256570
0.7571 Intermediate Similarity NPC282705
0.7571 Intermediate Similarity NPC182632
0.7333 Intermediate Similarity NPC23454
0.7333 Intermediate Similarity NPC70323
0.7333 Intermediate Similarity NPC262312
0.7333 Intermediate Similarity NPC35269
0.7083 Intermediate Similarity NPC242503
0.7042 Intermediate Similarity NPC61894
0.7042 Intermediate Similarity NPC297079
0.6806 Remote Similarity NPC43074
0.6806 Remote Similarity NPC139782
0.6806 Remote Similarity NPC74672
0.6806 Remote Similarity NPC209047
0.6341 Remote Similarity NPC201128
0.5244 Remote Similarity NPC473581
0.5122 Remote Similarity NPC602861
0.5057 Remote Similarity NPC604736

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC197294 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
0.6806 Remote Similarity NPD8522 Clinical (unspecified phase)

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