Natural Product: NPC54350

Natural Product IDNPC54350
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
HQKKQHYDWOSZCJ-VHZNKUSHSA-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:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0003567] Ergostane steroids
          • [CHEMONTID:0001403] Ergosterols and derivatives

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 HQKKQHYDWOSZCJ-VHZNKUSHSA-N
Standard InCHI InChI=1S/C30H50O/c1-19(2)22(5)20(3)8-9-21(4)26-12-13-27-25-11-10-23-18-24(31)14-16-29(23,6)28(25)15-17-30(26,27)7/h10,19,21-22,24-28,31H,3,8-9,11-18H2,1-2,4-7H3/t21-,22-,24+,25+,26-,27+,28+,29+,30-/m1/s1
SMILES CC(C)[C@@H](C)C(=C)CC[C@@H](C)[C@H]1CC[C@H]2[C@@H]3CC=C4C[C@H](CC[C@]4(C)[C@H]3CC[C@]12C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   426.39 Volume:   496.727
?
Van der Waals volume.
Dense:   0.858 LogP:   7.398
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   5.087
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.509
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   21.0
TPSA:   20.23
?
Topological Polar Surface Area.
H-Bond Acceptor:   1.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   1.0

MedChem Properties

QED Drug-Likeness Score:   0.424 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.574 Fsp3:   0.867
MCE-18:   71.0
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.974 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
?
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:   0.658 Promiscuous compounds:   0.071

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.145 MDCK Permeability:   -4.999
Pgp-inhibitor:   0.022 Pgp-substrate:   0.015
PAMPA:   0.005
?
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%):   0.001 30% Bioavailability (F30%):   0.055
50% Bioavailability (F50%):   0.969

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.098 MRP1:   0.048
Plasma Protein Binding (PPB):   96.465% Volume Distribution (VD):   -0.231
Fu: 3.681%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.514
BSEP inhibitor:   0.023

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.007
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.008
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.113
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.126
?
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):  13.294 Half-life (T1/2):  0.586

ADMET: Toxicity

hERG Blockers:  0.083 hERG Blockers (10um):  0.261
Human Hepatotoxicity (H-HT):  0.475 Drug-induced Liver Injury (DILI):  0.225
AMES Toxicity:  0.22 Rat Oral Acute Toxicity:  0.098
Maximum Recommended Daily Dose:  0.468 Skin Sensitization:  0.995
Carcinogencity:  0.835 Eye Corrosion:  0.472
Eye Irritation:  0.959 Respiratory Toxicity:  0.7
Drug-induced Neurotoxicity:  0.096 Ototoxicity:  0.513
Hematotoxicity:  0.317 Drug-induced Nephrotoxicity:  0.62
Genotoxicity:  0.029 RPMI-8226 Immunitoxicity:  0.055
A549 Cytotoxicity:  0.33 Hek293 Cytotoxicity:  0.679
BCF:   2.945
?
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:   4.744
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.354
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.421
?
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
NPO12486 Aureococcus anophagefferens Species n.a. Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12486 Aureococcus anophagefferens Species n.a. Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6419 Ormosia discolor Species Limoniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2118 Angelica atropurpurea Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10016 Rollinia laurifolia Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2477 Dimorphotheca ecklonis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7148 Osmia laevigata Species Megachilidae 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 NPC54350 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
0.88 High Similarity NPC134847
0.82 Intermediate Similarity NPC162742
0.82 Intermediate Similarity NPC304309
0.82 Intermediate Similarity NPC470228
0.7736 Intermediate Similarity NPC230301
0.7692 Intermediate Similarity NPC22105
0.7692 Intermediate Similarity NPC34019
0.7692 Intermediate Similarity NPC107059
0.7547 Intermediate Similarity NPC136188
0.7547 Intermediate Similarity NPC28657
0.7547 Intermediate Similarity NPC474216
0.7407 Intermediate Similarity NPC198968
0.7407 Intermediate Similarity NPC285893
0.7273 Intermediate Similarity NPC241290
0.7273 Intermediate Similarity NPC164840
0.7273 Intermediate Similarity NPC484739
0.7273 Intermediate Similarity NPC209944
0.7273 Intermediate Similarity NPC155986
0.7143 Intermediate Similarity NPC321381
0.7069 Intermediate Similarity NPC473943
0.7018 Intermediate Similarity NPC59453
0.6964 Remote Similarity NPC264245
0.6909 Remote Similarity NPC154330
0.6897 Remote Similarity NPC477522
0.6897 Remote Similarity NPC603646
0.6842 Remote Similarity NPC87604
0.6786 Remote Similarity NPC113733
0.6727 Remote Similarity NPC600590
0.6724 Remote Similarity NPC472265
0.6667 Remote Similarity NPC488870
0.65 Remote Similarity NPC155011
0.6429 Remote Similarity NPC221758
0.6393 Remote Similarity NPC47761
0.6207 Remote Similarity NPC84694
0.6207 Remote Similarity NPC143182
0.6167 Remote Similarity NPC33913
0.6129 Remote Similarity NPC474164
0.6102 Remote Similarity NPC51014
0.6 Remote Similarity NPC328714
0.5968 Remote Similarity NPC243985
0.5968 Remote Similarity NPC280710
0.5968 Remote Similarity NPC240650
0.5902 Remote Similarity NPC318495
0.5818 Remote Similarity NPC96319
0.5763 Remote Similarity NPC328313
0.569 Remote Similarity NPC81306
0.5606 Remote Similarity NPC601043
0.5606 Remote Similarity NPC605412
0.5556 Remote Similarity NPC474752
0.5556 Remote Similarity NPC26117
0.5556 Remote Similarity NPC19607
0.5556 Remote Similarity NPC474683
0.541 Remote Similarity NPC28862
0.5397 Remote Similarity NPC1272
0.5397 Remote Similarity NPC470614
0.5373 Remote Similarity NPC234335
0.5333 Remote Similarity NPC151519
0.5246 Remote Similarity NPC109546
0.5246 Remote Similarity NPC20688
0.5246 Remote Similarity NPC247325
0.5246 Remote Similarity NPC47982
0.5238 Remote Similarity NPC209620
0.5238 Remote Similarity NPC145879
0.5238 Remote Similarity NPC600056
0.5161 Remote Similarity NPC76879
0.5161 Remote Similarity NPC209430
0.5147 Remote Similarity NPC176012
0.5082 Remote Similarity NPC244488
0.5079 Remote Similarity NPC317927
0.5077 Remote Similarity NPC474759
0.5077 Remote Similarity NPC44083
0.5072 Remote Similarity NPC218186
0.507 Remote Similarity NPC235126
0.507 Remote Similarity NPC242419

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC54350 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
0.7736 Intermediate Similarity NPD7339 Approved
0.7547 Intermediate Similarity NPD6942 Phase 4
0.6429 Remote Similarity NPD4786 Phase 1
0.5818 Remote Similarity NPD3701 Pre-clinical
0.5333 Remote Similarity NPD3667 Phase 4

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