Natural Product: NPC158961

Natural Product IDNPC158961
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PYKGGRDIMOOZKF-PKCZXNRQSA-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:0002031] Stigmastanes 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 PYKGGRDIMOOZKF-PKCZXNRQSA-N
Standard InCHI InChI=1S/C29H50O2/c1-7-20(27(3,4)31)9-8-19(2)24-12-13-25-23-11-10-21-18-22(30)14-16-28(21,5)26(23)15-17-29(24,25)6/h10,19-20,22-26,30-31H,7-9,11-18H2,1-6H3/t19-,20-,22+,23+,24-,25+,26+,28+,29-/m1/s1
SMILES CC[C@H](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)C(C)(C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   430.38 Volume:   490.858
?
Van der Waals volume.
Dense:   0.877 LogP:   7.261
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   5.244
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.537
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   20.0
TPSA:   40.46
?
Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.44 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.605 Fsp3:   0.931
MCE-18:   73.536
?
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:   0.856 Fluc inhibitor:   0.003
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
?
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:   0.571 Promiscuous compounds:   0.079

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.113 MDCK Permeability:   -4.917
Pgp-inhibitor:   0.001 Pgp-substrate:   0.228
PAMPA:   0.031
?
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%):   0.002 30% Bioavailability (F30%):   0.094
50% Bioavailability (F50%):   0.958

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.019 MRP1:   0.02
Plasma Protein Binding (PPB):   84.559% Volume Distribution (VD):   -0.356
Fu: 14.135%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.503
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.003 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.96 CYP2D6-substrate:   0.033
CYP3A4-inhibitor:   0.997 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.957
HLM stability:   0.944
?
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):  14.19 Half-life (T1/2):  0.748

ADMET: Toxicity

hERG Blockers:  0.176 hERG Blockers (10um):  0.303
Human Hepatotoxicity (H-HT):  0.574 Drug-induced Liver Injury (DILI):  0.261
AMES Toxicity:  0.18 Rat Oral Acute Toxicity:  0.099
Maximum Recommended Daily Dose:  0.678 Skin Sensitization:  0.975
Carcinogencity:  0.847 Eye Corrosion:  0.174
Eye Irritation:  0.909 Respiratory Toxicity:  0.776
Drug-induced Neurotoxicity:  0.069 Ototoxicity:  0.522
Hematotoxicity:  0.271 Drug-induced Nephrotoxicity:  0.514
Genotoxicity:  0.009 RPMI-8226 Immunitoxicity:  0.044
A549 Cytotoxicity:  0.271 Hek293 Cytotoxicity:  0.56
BCF:   2.327
?
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:   4.339
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.386
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.029
?
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
NPO21454 Iodes cirrhosa Species Icacinaceae Eukaryota root n.a. n.a. PMID[18327912]
NPO21331 Syzygium samarangense Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21454 Iodes cirrhosa Species Icacinaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18228 Cycas beddomei Species Cycadaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20444 Corticium caeruleum Species Plakinidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28293 Aegilops geniculata Species Poaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18024 Acacia pruinosa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14318 Lespedeza davidii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21331 Syzygium samarangense Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO18228 Cycas beddomei Species Cycadaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO21331 Syzygium samarangense Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20444 Corticium caeruleum Species Plakinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28293 Aegilops geniculata Species Poaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21454 Iodes cirrhosa Species Icacinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18024 Acacia pruinosa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21331 Syzygium samarangense Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14318 Lespedeza davidii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18228 Cycas beddomei Species Cycadaceae 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 NPC158961 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
0.86 High Similarity NPC198968
0.8367 Intermediate Similarity NPC162742
0.8367 Intermediate Similarity NPC304309
0.8367 Intermediate Similarity NPC470228
0.8235 Intermediate Similarity NPC230301
0.8235 Intermediate Similarity NPC285893
0.82 Intermediate Similarity NPC34019
0.7843 Intermediate Similarity NPC22105
0.7843 Intermediate Similarity NPC107059
0.7736 Intermediate Similarity NPC241290
0.7736 Intermediate Similarity NPC164840
0.7736 Intermediate Similarity NPC484739
0.7736 Intermediate Similarity NPC209944
0.7736 Intermediate Similarity NPC155986
0.7692 Intermediate Similarity NPC136188
0.7692 Intermediate Similarity NPC28657
0.7692 Intermediate Similarity NPC474216
0.7547 Intermediate Similarity NPC134847
0.7407 Intermediate Similarity NPC264245
0.7273 Intermediate Similarity NPC321381
0.7143 Intermediate Similarity NPC59453
0.7018 Intermediate Similarity NPC603646
0.6909 Remote Similarity NPC113733
0.6897 Remote Similarity NPC473943
0.6852 Remote Similarity NPC600590
0.6842 Remote Similarity NPC472265
0.678 Remote Similarity NPC488870
0.6727 Remote Similarity NPC154330
0.661 Remote Similarity NPC155011
0.6545 Remote Similarity NPC221758
0.65 Remote Similarity NPC47761
0.6491 Remote Similarity NPC51014
0.6379 Remote Similarity NPC328714
0.6333 Remote Similarity NPC240650
0.6271 Remote Similarity NPC318495
0.6271 Remote Similarity NPC33913
0.614 Remote Similarity NPC328313
0.6102 Remote Similarity NPC87604
0.6066 Remote Similarity NPC243985
0.6066 Remote Similarity NPC280710
0.5968 Remote Similarity NPC474164
0.5926 Remote Similarity NPC96319
0.5902 Remote Similarity NPC477522
0.5692 Remote Similarity NPC601043
0.5692 Remote Similarity NPC605412
0.5645 Remote Similarity NPC474752
0.5645 Remote Similarity NPC474683
0.5574 Remote Similarity NPC145879
0.5517 Remote Similarity NPC81306
0.55 Remote Similarity NPC76879
0.55 Remote Similarity NPC28862
0.5484 Remote Similarity NPC1272
0.5484 Remote Similarity NPC470614
0.5424 Remote Similarity NPC151519
0.5333 Remote Similarity NPC20688
0.5323 Remote Similarity NPC31564
0.5161 Remote Similarity NPC317927
0.5156 Remote Similarity NPC44083
0.5143 Remote Similarity NPC309493
0.5082 Remote Similarity NPC109546
0.5082 Remote Similarity NPC247325
0.5082 Remote Similarity NPC317458
0.5082 Remote Similarity NPC47982
0.5079 Remote Similarity NPC26959
0.5075 Remote Similarity NPC474349
0.5075 Remote Similarity NPC474189

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC158961 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
0.8235 Intermediate Similarity NPD7339 Approved
0.7692 Intermediate Similarity NPD6942 Phase 4
0.6545 Remote Similarity NPD4786 Phase 1
0.5926 Remote Similarity NPD3701 Pre-clinical
0.5424 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