Natural Product: NPC488213

Natural Product IDNPC488213
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
SWQYXPPPCKKALI-DTBGAVPGSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001535] Polyprenols

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 SWQYXPPPCKKALI-DTBGAVPGSA-N
Standard InCHI InChI=1S/C30H48O5/c1-17(2)18-9-12-29(25(34)35)13-14-30(16-31)19(23(18)29)7-8-22-27(5)15-20(32)24(33)26(3,4)21(27)10-11-28(22,30)6/h18-24,31-33H,1,7-16H2,2-6H3,(H,34,35)/t18-,19+,20+,21-,22+,23+,24-,27-,28+,29-,30-/m0/s1
SMILES C=C(C)[C@@H]1CC[C@@]2(CC[C@]3(CO)[C@H](CC[C@@H]4[C@@]5(C)C[C@H]([C@@H](C(C)(C)[C@@H]5CC[C@@]34C)O)O)[C@@H]12)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   488.35 Volume:   523.332
?
Van der Waals volume.
Dense:   0.933 LogP:   2.915
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.859
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.359
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   27.0
TPSA:   97.99
?
Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.418 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.099 Fsp3:   0.9
MCE-18:   106.737
?
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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.783 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
?
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:   0.312 Promiscuous compounds:   0.219

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.477 MDCK Permeability:   -5.047
Pgp-inhibitor:   0.0 Pgp-substrate:   0.112
PAMPA:   0.965
?
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%):   0.126 30% Bioavailability (F30%):   0.46
50% Bioavailability (F50%):   0.939

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.898 MRP1:   0.982
Plasma Protein Binding (PPB):   89.444% Volume Distribution (VD):   -0.158
Fu: 10.484%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.995
OATP1B3 inhibitor:   0.95 BCRP inhibitor:   0.101
BSEP inhibitor:   0.075

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.003 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:   0.0
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):  4.39 Half-life (T1/2):  1.473

ADMET: Toxicity

hERG Blockers:  0.046 hERG Blockers (10um):  0.058
Human Hepatotoxicity (H-HT):  0.682 Drug-induced Liver Injury (DILI):  0.566
AMES Toxicity:  0.248 Rat Oral Acute Toxicity:  0.08
Maximum Recommended Daily Dose:  0.308 Skin Sensitization:  0.89
Carcinogencity:  0.838 Eye Corrosion:  0.019
Eye Irritation:  0.779 Respiratory Toxicity:  0.746
Drug-induced Neurotoxicity:  0.017 Ototoxicity:  0.767
Hematotoxicity:  0.393 Drug-induced Nephrotoxicity:  0.773
Genotoxicity:  0.296 RPMI-8226 Immunitoxicity:  0.016
A549 Cytotoxicity:  0.032 Hek293 Cytotoxicity:  0.065
BCF:   0.81
?
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:   3.424
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.974
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.228
?
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
NPO28138 Burkea africana Species Fabaceae Eukaryota Bark n.a. n.a. PMID[29394063]
NPO28138 Burkea africana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28138 Burkea africana Species Fabaceae 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
NPT616 Cell line MDCK Canis lupus familiaris CC50 > 100000.0 nM PMID[29394063]
NPT742 Organism Influenza A virus Influenza A virus IC50 = 26500.0 nM PMID[29394063]
NPT2 Others Unspecified n.a. Ratio CC50/IC50 > 4.0 n.a. PMID[29394063]

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 NPC488213 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
0.8475 Intermediate Similarity NPC488506
0.8475 Intermediate Similarity NPC220498
0.7619 Intermediate Similarity NPC151191
0.7031 Intermediate Similarity NPC291373
0.6667 Remote Similarity NPC277399
0.6364 Remote Similarity NPC264317
0.6364 Remote Similarity NPC294438
0.6029 Remote Similarity NPC488164
0.6029 Remote Similarity NPC264005
0.5882 Remote Similarity NPC80590
0.5857 Remote Similarity NPC16377
0.5797 Remote Similarity NPC24772
0.5797 Remote Similarity NPC213832
0.5714 Remote Similarity NPC201655
0.5571 Remote Similarity NPC211162
0.5571 Remote Similarity NPC183374
0.5556 Remote Similarity NPC474719
0.5522 Remote Similarity NPC68828
0.5517 Remote Similarity NPC488208
0.5507 Remote Similarity NPC192744
0.5493 Remote Similarity NPC195395
0.5479 Remote Similarity NPC486704
0.5417 Remote Similarity NPC2783
0.5405 Remote Similarity NPC607677
0.5342 Remote Similarity NPC601275
0.5294 Remote Similarity NPC246445
0.5275 Remote Similarity NPC487490
0.527 Remote Similarity NPC488165
0.5217 Remote Similarity NPC488207
0.5152 Remote Similarity NPC102708
0.5135 Remote Similarity NPC269360
0.5122 Remote Similarity NPC486709
0.5068 Remote Similarity NPC271974
0.5068 Remote Similarity NPC247312
0.5068 Remote Similarity NPC609710
0.5067 Remote Similarity NPC472149
0.5067 Remote Similarity NPC71074
0.5067 Remote Similarity NPC37221
0.5067 Remote Similarity NPC605937
0.5067 Remote Similarity NPC611139

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC488213 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
0.6364 Remote Similarity NPD7520 Phase 1

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