Natural Product: NPC533818

Natural Product IDNPC533818
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(1~{R},3~{a}~{R},4~{S},5~{a}~{R},5~{b}~{R},7~{a}~{R},9~{S},11~{a}~{R},11~{b}~{R},13~{a}~{R},13~{b}~{S})-9-acetoxy-4-hydroxy-1-isopropenyl-5~{a},5~{b},8,8,11~{a}-pentamethyl-1,2,3,4,5,6,7,7~{a},9,10,11,11~{b},12,13,13~{a},13~{b}-hexadecahydrocyclopenta[a]chrysene-3~{a}-carboxylic acid
IUPAC Name (1~{R},3~{a}~{R},4~{S},5~{a}~{R},5~{b}~{R},7~{a}~{R},9~{S},11~{a}~{R},11~{b}~{R},13~{a}~{R},13~{b}~{S})-9-acetoxy-4-hydroxy-1-isopropenyl-5~{a},5~{b},8,8,11~{a}-pentamethyl-1,2,3,4,5,6,7,7~{a},9,10,11,11~{b},12,13,13~{a},13~{b}-hexadecahydrocyclopenta[a]chrysene-3~{a}-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
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 YFCJVNPEQIVRMM-CPBCUCJJSA-N
Standard InCHI InChI=1S/C32H50O5/c1-18(2)20-11-16-32(27(35)36)24(34)17-31(8)21(26(20)32)9-10-23-29(6)14-13-25(37-19(3)33)28(4,5)22(29)12-15-30(23,31)7/h20-26,34H,1,9-17H2,2-8H3,(H,35,36)/t20-,21+,22-,23+,24-,25-,26-,29-,30+,31+,32-/m0/s1
SMILES C=C(C)[C@@H]1CC[C@@]2(C(=O)O)[C@@H]1[C@H]1CC[C@@H]3[C@@]4(C)CC[C@H](OC(C)=O)C(C)(C)[C@@H]4CC[C@@]3(C)[C@]1(C)C[C@@H]2O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   514.37 Volume:   555.287
?
Van der Waals volume.
Dense:   0.926 LogP:   4.182
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.546
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.913
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   28.0
TPSA:   83.83
?
Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.326 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.967 Fsp3:   0.875
MCE-18:   108.0
?
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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.873 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
?
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:   0.272 Promiscuous compounds:   0.341

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.465 MDCK Permeability:   -5.139
Pgp-inhibitor:   0.61 Pgp-substrate:   0.009
PAMPA:   0.979
?
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):   0.007
20% Bioavailability (F20%):   0.397 30% Bioavailability (F30%):   0.324
50% Bioavailability (F50%):   0.915

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.14 MRP1:   0.957
Plasma Protein Binding (PPB):   96.943% Volume Distribution (VD):   -0.318
Fu: 3.189%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.569 BCRP inhibitor:   0.284
BSEP inhibitor:   0.906

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.154 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.009 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.401
HLM stability:   0.098
?
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):  2.554 Half-life (T1/2):  1.199

ADMET: Toxicity

hERG Blockers:  0.006 hERG Blockers (10um):  0.014
Human Hepatotoxicity (H-HT):  0.471 Drug-induced Liver Injury (DILI):  0.642
AMES Toxicity:  0.336 Rat Oral Acute Toxicity:  0.234
Maximum Recommended Daily Dose:  0.19 Skin Sensitization:  0.991
Carcinogencity:  0.811 Eye Corrosion:  0.563
Eye Irritation:  0.765 Respiratory Toxicity:  0.615
Drug-induced Neurotoxicity:  0.006 Ototoxicity:  0.469
Hematotoxicity:  0.686 Drug-induced Nephrotoxicity:  0.908
Genotoxicity:  0.637 RPMI-8226 Immunitoxicity:  0.025
A549 Cytotoxicity:  0.203 Hek293 Cytotoxicity:  0.136
BCF:   1.016
?
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:   3.98
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.584
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.896
?
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
NPO45618 Fagara tessmannii Engl. n.a. n.a. n.a. 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





 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 NPC533818 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
0.7273 Intermediate Similarity NPC4309
0.6571 Remote Similarity NPC160506
0.5775 Remote Similarity NPC31031
0.5507 Remote Similarity NPC305835
0.5417 Remote Similarity NPC5280
0.5402 Remote Similarity NPC248287
0.5402 Remote Similarity NPC234548
0.5333 Remote Similarity NPC134197
0.5281 Remote Similarity NPC8102
0.5281 Remote Similarity NPC66894
0.527 Remote Similarity NPC271974
0.527 Remote Similarity NPC247312
0.5263 Remote Similarity NPC474728
0.5205 Remote Similarity NPC264317
0.5205 Remote Similarity NPC294438
0.5169 Remote Similarity NPC475138
0.5135 Remote Similarity NPC304194
0.5135 Remote Similarity NPC488506
0.5135 Remote Similarity NPC261616
0.5135 Remote Similarity NPC220498
0.5122 Remote Similarity NPC606354
0.5068 Remote Similarity NPC98270
0.5067 Remote Similarity NPC168231
0.5067 Remote Similarity NPC201655

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC533818 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
0.6571 Remote Similarity NPD8035 Phase 2
0.5698 Remote Similarity NPD8034 Phase 2
0.5205 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