Natural Product: NPC322074

Natural Product IDNPC322074
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JTBGJQZJEYVBJZ-NWNUJMDISA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5316110
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 JTBGJQZJEYVBJZ-NWNUJMDISA-N
Standard InCHI InChI=1S/C30H48O4/c1-25(2)20-10-13-30(7)21(28(20,5)12-11-22(25)31)9-8-18-19-16-26(3,24(33)34)17-23(32)27(19,4)14-15-29(18,30)6/h8,19-23,31-32H,9-17H2,1-7H3,(H,33,34)/t19-,20?,21?,22-,23?,26-,27+,28-,29?,30+/m0/s1
SMILES CC1(C2CCC3(C(C2(CCC1O)C)CC=C4C3(CCC5(C4CC(CC5O)(C)C(=O)O)C)C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   472.36 Volume:   514.542
?
Van der Waals volume.
Dense:   0.918 LogP:   3.361
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.302
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.908
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   27.0
TPSA:   77.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.397 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.865 Fsp3:   0.9
MCE-18:   108.07
?
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:   0.174 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.013
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.342 Promiscuous compounds:   0.001

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.208 MDCK Permeability:   -4.826
Pgp-inhibitor:   0.0 Pgp-substrate:   0.137
PAMPA:   0.999
?
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):   0.018
20% Bioavailability (F20%):   0.125 30% Bioavailability (F30%):   0.103
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.116 MRP1:   1.0
Plasma Protein Binding (PPB):   80.741% Volume Distribution (VD):   -0.236
Fu: 16.294%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.037
OATP1B3 inhibitor:   0.869 BCRP inhibitor:   0.001
BSEP inhibitor:   0.053

ADMET: Metabolism

CYP1A2-inhibitor:   0.389 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.646 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.253 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.883 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.535 CYP2C8-inhibitor:   0.057
HLM stability:   0.312
?
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):  3.443 Half-life (T1/2):  1.854

ADMET: Toxicity

hERG Blockers:  0.047 hERG Blockers (10um):  0.243
Human Hepatotoxicity (H-HT):  0.301 Drug-induced Liver Injury (DILI):  0.054
AMES Toxicity:  0.026 Rat Oral Acute Toxicity:  0.136
Maximum Recommended Daily Dose:  0.798 Skin Sensitization:  0.055
Carcinogencity:  0.166 Eye Corrosion:  0.0
Eye Irritation:  0.129 Respiratory Toxicity:  0.727
Drug-induced Neurotoxicity:  0.143 Ototoxicity:  0.96
Hematotoxicity:  0.055 Drug-induced Nephrotoxicity:  0.048
Genotoxicity:  0.004 RPMI-8226 Immunitoxicity:  0.015
A549 Cytotoxicity:  0.133 Hek293 Cytotoxicity:  0.164
BCF:   1.426
?
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:   4.269
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.835
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.94
?
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
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. root n.a. DOI[10.1016/S0040-4039(99)00339-1]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. root n.a. PMID[10746886]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[10757718]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota root bark Kunming, Yunnan, China n.a. PMID[10757718]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. root n.a. PMID[10757718]
NPO2865 Abrus precatorius Species Fabaceae Eukaryota aerial parts n.a. n.a. PMID[19299148]
NPO2348 Tripterygium regelii Species Celastraceae Eukaryota n.a. bark n.a. PMID[20167482]
NPO2865 Abrus precatorius Species Fabaceae Eukaryota n.a. stem n.a. PMID[22210168]
NPO2865 Abrus precatorius Species Fabaceae Eukaryota n.a. leaf n.a. PMID[22210168]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. root n.a. PMID[22256754]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[22256754]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. root n.a. PMID[23252270]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[2534610]
NPO2865 Abrus precatorius Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[2691636]
NPO2865 Abrus precatorius Species Fabaceae Eukaryota Leaves n.a. n.a. PMID[2691636]
NPO2348 Tripterygium regelii Species Celastraceae Eukaryota n.a. stem n.a. PMID[27113553]
NPO2348 Tripterygium regelii Species Celastraceae Eukaryota n.a. root n.a. PMID[2801129]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. Europe PMC[535601]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[8328267]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. root n.a. Database[Article]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. leaf n.a. Database[Article]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. Database[Article]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2865 Abrus precatorius Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2348 Tripterygium regelii Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2865 Abrus precatorius Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2348 Tripterygium regelii Species Celastraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO30187 Euonymus bungeanus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[Phytochemistry, 2000, 53, 715-722.]
NPO2865 Abrus precatorius Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2348 Tripterygium regelii Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2348 Tripterygium regelii Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2865 Abrus precatorius Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO30187 Euonymus bungeanus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. Database[Title]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota root bark n.a. n.a. Database[Title]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota root bark Kunming, Yunnan, China n.a. Database[Title]
NPO1152 Tripterygium hypoglaucum Species Celastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2348 Tripterygium regelii Species Celastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2865 Abrus precatorius 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

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 NPC322074 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 NPC7260
1.0 High Similarity NPC210037
1.0 High Similarity NPC120968
1.0 High Similarity NPC227467
1.0 High Similarity NPC273621
0.7778 Intermediate Similarity NPC171203
0.7778 Intermediate Similarity NPC307426
0.7778 Intermediate Similarity NPC98442
0.7778 Intermediate Similarity NPC242468
0.746 Intermediate Similarity NPC477872
0.7424 Intermediate Similarity NPC193750
0.6667 Remote Similarity NPC263393
0.6377 Remote Similarity NPC18872
0.6377 Remote Similarity NPC290614
0.6324 Remote Similarity NPC480946
0.6324 Remote Similarity NPC187722
0.6324 Remote Similarity NPC130577
0.6324 Remote Similarity NPC142415
0.6324 Remote Similarity NPC102683
0.6232 Remote Similarity NPC182797
0.6232 Remote Similarity NPC51700
0.6232 Remote Similarity NPC88716
0.6232 Remote Similarity NPC68160
0.6232 Remote Similarity NPC52169
0.6232 Remote Similarity NPC488562
0.6232 Remote Similarity NPC606443
0.619 Remote Similarity NPC290598
0.619 Remote Similarity NPC30590
0.6154 Remote Similarity NPC34177
0.6087 Remote Similarity NPC610937
0.6061 Remote Similarity NPC235341
0.6056 Remote Similarity NPC202728
0.6056 Remote Similarity NPC158059
0.6056 Remote Similarity NPC293564
0.6 Remote Similarity NPC112866
0.5909 Remote Similarity NPC101475
0.5833 Remote Similarity NPC228784
0.5833 Remote Similarity NPC155120
0.5833 Remote Similarity NPC324341
0.5833 Remote Similarity NPC288833
0.5833 Remote Similarity NPC601810
0.5797 Remote Similarity NPC246708
0.5753 Remote Similarity NPC474525
0.5692 Remote Similarity NPC27765
0.5692 Remote Similarity NPC122418
0.5692 Remote Similarity NPC491014
0.5634 Remote Similarity NPC274330
0.5634 Remote Similarity NPC198664
0.5541 Remote Similarity NPC4036
0.5541 Remote Similarity NPC65120
0.5541 Remote Similarity NPC145067
0.5541 Remote Similarity NPC233455
0.5541 Remote Similarity NPC158030
0.5507 Remote Similarity NPC230295
0.5507 Remote Similarity NPC98386
0.5467 Remote Similarity NPC46441
0.5467 Remote Similarity NPC474529
0.5441 Remote Similarity NPC311078
0.5405 Remote Similarity NPC49776
0.5405 Remote Similarity NPC63118
0.5405 Remote Similarity NPC474436
0.5405 Remote Similarity NPC29765
0.5375 Remote Similarity NPC603645
0.5362 Remote Similarity NPC253807
0.5362 Remote Similarity NPC158662
0.5342 Remote Similarity NPC270768
0.5342 Remote Similarity NPC59263
0.5342 Remote Similarity NPC263272
0.5342 Remote Similarity NPC210106
0.5342 Remote Similarity NPC229281
0.5342 Remote Similarity NPC121798
0.5342 Remote Similarity NPC234346
0.5342 Remote Similarity NPC195019
0.5333 Remote Similarity NPC474964
0.5286 Remote Similarity NPC159168
0.5286 Remote Similarity NPC95594
0.5278 Remote Similarity NPC477579
0.527 Remote Similarity NPC472240
0.527 Remote Similarity NPC61543
0.527 Remote Similarity NPC293048
0.527 Remote Similarity NPC225585
0.527 Remote Similarity NPC262858
0.5224 Remote Similarity NPC120098
0.5217 Remote Similarity NPC196753
0.52 Remote Similarity NPC164349
0.52 Remote Similarity NPC136697
0.52 Remote Similarity NPC298554
0.5143 Remote Similarity NPC40394
0.5139 Remote Similarity NPC40552
0.5135 Remote Similarity NPC142361
0.5135 Remote Similarity NPC474684
0.5135 Remote Similarity NPC488519
0.5132 Remote Similarity NPC191412
0.5132 Remote Similarity NPC114159
0.5132 Remote Similarity NPC6818
0.507 Remote Similarity NPC470588
0.5067 Remote Similarity NPC480720
0.5065 Remote Similarity NPC476064
0.5065 Remote Similarity NPC127689
0.5065 Remote Similarity NPC130520

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC322074 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
0.5541 Remote Similarity NPD7515 Phase 2
0.5135 Remote Similarity NPD7645 Phase 2

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