Natural Product: NPC486705

Natural Product IDNPC486705
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MAACOUPDBRTVKZ-USDCKGJFSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 134143960
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 MAACOUPDBRTVKZ-USDCKGJFSA-N
Standard InCHI InChI=1S/C37H50O7/c1-20(2)23-14-17-37(32(42)43)19-18-34(5)24(27(23)37)12-13-26-35(34,6)16-15-25-33(3,4)29(28(30(39)40)36(25,26)7)44-31(41)21-8-10-22(38)11-9-21/h8-11,23-29,38H,1,12-19H2,2-7H3,(H,39,40)(H,42,43)/t23-,24+,25-,26-,27+,28+,29-,34+,35+,36-,37-/m0/s1
SMILES C=C(C)[C@@H]1CC[C@@]2(CC[C@]3(C)[C@H](CC[C@H]4[C@@]3(C)CC[C@H]3C(C)(C)[C@H]([C@H](C(=O)O)[C@]43C)OC(=O)c3ccc(cc3)O)[C@@H]12)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   606.36 Volume:   640.246
?
Van der Waals volume.
Dense:   0.947 LogP:   4.496
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.356
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.609
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   34.0
TPSA:   121.13
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.233 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.026 Fsp3:   0.703
MCE-18:   167.206
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.802 Fluc inhibitor:   0.03
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.005
?
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:   0.214 Promiscuous compounds:   0.121

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.383 MDCK Permeability:   -5.045
Pgp-inhibitor:   0.001 Pgp-substrate:   0.0
PAMPA:   0.973
?
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):   0.0
20% Bioavailability (F20%):   0.214 30% Bioavailability (F30%):   0.276
50% Bioavailability (F50%):   0.933

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.999
Plasma Protein Binding (PPB):   98.023% Volume Distribution (VD):   -0.347
Fu: 1.604%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.975 BCRP inhibitor:   0.002
BSEP inhibitor:   0.488

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.003 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.042 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.074
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):  0.929 Half-life (T1/2):  1.635

ADMET: Toxicity

hERG Blockers:  0.028 hERG Blockers (10um):  0.044
Human Hepatotoxicity (H-HT):  0.422 Drug-induced Liver Injury (DILI):  0.822
AMES Toxicity:  0.115 Rat Oral Acute Toxicity:  0.138
Maximum Recommended Daily Dose:  0.258 Skin Sensitization:  0.979
Carcinogencity:  0.902 Eye Corrosion:  0.086
Eye Irritation:  0.856 Respiratory Toxicity:  0.796
Drug-induced Neurotoxicity:  0.031 Ototoxicity:  0.45
Hematotoxicity:  0.182 Drug-induced Nephrotoxicity:  0.847
Genotoxicity:  0.803 RPMI-8226 Immunitoxicity:  0.008
A549 Cytotoxicity:  0.016 Hek293 Cytotoxicity:  0.081
BCF:   0.523
?
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:   3.863
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.278
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.685
?
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
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. PMID[27617953]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota Roots n.a. n.a. PMID[28257196]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]

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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 10000.0 nM PMID[27617953]

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 NPC486705 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 NPC486706
0.88 High Similarity NPC486708
0.8148 Intermediate Similarity NPC97475
0.8148 Intermediate Similarity NPC486696
0.6786 Remote Similarity NPC486699
0.6322 Remote Similarity NPC486695
0.6067 Remote Similarity NPC290349
0.5934 Remote Similarity NPC248287
0.5934 Remote Similarity NPC234548
0.5806 Remote Similarity NPC486697
0.5684 Remote Similarity NPC101863
0.5682 Remote Similarity NPC486709
0.5579 Remote Similarity NPC486700
0.5579 Remote Similarity NPC275312
0.5474 Remote Similarity NPC8102
0.5474 Remote Similarity NPC66894
0.5375 Remote Similarity NPC211162
0.5375 Remote Similarity NPC183374
0.5309 Remote Similarity NPC195395
0.5152 Remote Similarity NPC487491
0.506 Remote Similarity NPC4309
0.505 Remote Similarity NPC205392
0.505 Remote Similarity NPC105942

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC486705 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