Natural Product: NPC600293

Natural Product IDNPC600293
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NXWBRHQQKIQDCN-UXKPDXCRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1159435
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 NXWBRHQQKIQDCN-UXKPDXCRSA-N
Standard InCHI InChI=1S/C48H78O18/c1-22-30(53)37(65-41-38(34(57)32(55)24(19-50)63-41)66-39-35(58)33(56)31(54)23(18-49)62-39)36(59)40(61-22)64-29-10-11-43(4)25(44(29,5)20-51)8-12-45(6)26(43)9-13-48-27-16-42(2,3)14-15-47(27,21-60-48)28(52)17-46(45,48)7/h9,13,22-41,49-59H,8,10-12,14-21H2,1-7H3/t22-,23-,24-,25?,26?,27?,28+,29+,30+,31-,32-,33+,34+,35-,36-,37+,38-,39+,40+,41+,43+,44+,45-,46+,47-,48+/m1/s1
SMILES C[C@H]1O[C@@H](O[C@H]2CC[C@@]3(C)C(CC[C@]4(C)C3C=C[C@]35OC[C@@]6(CCC(C)(C)CC63)[C@@H](O)C[C@]54C)[C@]2(C)CO)[C@H](O)[C@@H](O[C@@H]2O[C@H](CO)[C@@H](O)[C@H](O)[C@H]2O[C@@H]2O[C@H](CO)[C@@H](O)[C@H](O)[C@H]2O)[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   942.52 Volume:   917.343
?
Van der Waals volume.
Dense:   1.027 LogP:   -0.116
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.835
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.851
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   47.0
TPSA:   287.14
?
Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   11.0 Rings:   9.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.104 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.702 Fsp3:   0.958
MCE-18:   256.085
?
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:   0.705 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.012
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.052
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.197 Promiscuous compounds:   0.069

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.58 MDCK Permeability:   -4.988
Pgp-inhibitor:   0.0 Pgp-substrate:   0.268
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):   0.128
20% Bioavailability (F20%):   0.113 30% Bioavailability (F30%):   0.982
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.008 MRP1:   0.024
Plasma Protein Binding (PPB):   74.679% Volume Distribution (VD):   -0.487
Fu: 19.367%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.003
BSEP inhibitor:   0.061

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:   0.039 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.235
HLM stability:   0.012
?
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):  0.099 Half-life (T1/2):  4.359

ADMET: Toxicity

hERG Blockers:  0.003 hERG Blockers (10um):  0.019
Human Hepatotoxicity (H-HT):  0.491 Drug-induced Liver Injury (DILI):  0.491
AMES Toxicity:  0.83 Rat Oral Acute Toxicity:  0.008
Maximum Recommended Daily Dose:  0.014 Skin Sensitization:  1.0
Carcinogencity:  0.158 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.058 Drug-induced Nephrotoxicity:  0.787
Genotoxicity:  0.039 RPMI-8226 Immunitoxicity:  0.192
A549 Cytotoxicity:  0.176 Hek293 Cytotoxicity:  0.435
BCF:   1.15
?
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:   3.527
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.027
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.022
?
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
NPO51841 Bupleurum spinosum Species Apiaceae 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

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT29 Organism Rattus norvegicus Rattus norvegicus Inhibition = -7.8 % DOI[10.1016/S0960-894X(97)00418-6]
NPT29 Organism Rattus norvegicus Rattus norvegicus Inhibition = -6.5 % DOI[10.1016/S0960-894X(97)00418-6]
NPT29 Organism Rattus norvegicus Rattus norvegicus Inhibition = -12.2 % DOI[10.1016/S0960-894X(97)00418-6]
NPT29 Organism Rattus norvegicus Rattus norvegicus Inhibition = -5.4 % DOI[10.1016/S0960-894X(97)00418-6]





 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 NPC600293 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
0.9667 High Similarity NPC476305
0.9091 High Similarity NPC180459
0.9091 High Similarity NPC195116
0.9091 High Similarity NPC221110
0.8602 High Similarity NPC44298
0.8261 Intermediate Similarity NPC285253
0.7917 Intermediate Similarity NPC473128
0.7755 Intermediate Similarity NPC40133
0.7755 Intermediate Similarity NPC49413
0.764 Intermediate Similarity NPC38376
0.764 Intermediate Similarity NPC80210
0.7526 Intermediate Similarity NPC110494
0.75 Intermediate Similarity NPC290608
0.7172 Intermediate Similarity NPC473130
0.6495 Remote Similarity NPC473125
0.6476 Remote Similarity NPC157474
0.5929 Remote Similarity NPC471373
0.5625 Remote Similarity NPC171741
0.5614 Remote Similarity NPC253611
0.5614 Remote Similarity NPC488782
0.5484 Remote Similarity NPC92885
0.5472 Remote Similarity NPC109792
0.5472 Remote Similarity NPC57065
0.5472 Remote Similarity NPC54521
0.5431 Remote Similarity NPC77717
0.5424 Remote Similarity NPC475630
0.5321 Remote Similarity NPC473127
0.5321 Remote Similarity NPC110656
0.5278 Remote Similarity NPC162354
0.5263 Remote Similarity NPC323231
0.525 Remote Similarity NPC471374
0.5207 Remote Similarity NPC209798
0.5179 Remote Similarity NPC18724
0.5169 Remote Similarity NPC267238
0.5091 Remote Similarity NPC473126
0.5085 Remote Similarity NPC158367
0.5079 Remote Similarity NPC189575
0.5042 Remote Similarity NPC470623

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC600293 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