Natural Product: NPC603546

Natural Product IDNPC603546
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
RCTIYVXRHIOALD-CQIRVACKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL4062943
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 RCTIYVXRHIOALD-CQIRVACKSA-N
Standard InCHI InChI=1S/C41H64O13/c1-20(2)8-11-27(44)40(7)26-13-16-39(6)22-9-10-25-37(3,4)28(14-15-38(25,5)21(22)12-17-41(26,39)36(49)54-40)52-35-33(29(45)23(43)19-50-35)53-34-32(48)31(47)30(46)24(18-42)51-34/h9,21,23-35,42-48H,1,8,10-19H2,2-7H3/t21-,23+,24+,25-,26+,27?,28-,29-,30+,31-,32+,33+,34-,35-,38+,39-,40+,41+/m0/s1
SMILES C=C(C)CCC(O)[C@]1(C)OC(=O)[C@]23CC[C@H]4C(=CC[C@H]5C(C)(C)[C@@H](O[C@@H]6OC[C@@H](O)[C@H](O)[C@H]6O[C@@H]6O[C@H](CO)[C@@H](O)[C@H](O)[C@H]6O)CC[C@]45C)[C@]2(C)CC[C@H]13

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   764.43 Volume:   764.16
?
Van der Waals volume.
Dense:   1.0 LogP:   2.14
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.853
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.248
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   38.0
TPSA:   204.83
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   7.0 Rings:   7.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.133 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.478 Fsp3:   0.878
MCE-18:   194.792
?
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:   0.939 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.156 Promiscuous compounds:   0.032

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.671 MDCK Permeability:   -5.157
Pgp-inhibitor:   0.0 Pgp-substrate:   0.006
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):   0.001
20% Bioavailability (F20%):   0.096 30% Bioavailability (F30%):   0.712
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.981 MRP1:   0.125
Plasma Protein Binding (PPB):   72.303% Volume Distribution (VD):   -0.451
Fu: 20.433%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.002
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.013 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.997 CYP3A4-substrate:   0.583
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.966
HLM stability:   0.003
?
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):  1.181 Half-life (T1/2):  2.659

ADMET: Toxicity

hERG Blockers:  0.014 hERG Blockers (10um):  0.11
Human Hepatotoxicity (H-HT):  0.673 Drug-induced Liver Injury (DILI):  0.698
AMES Toxicity:  0.699 Rat Oral Acute Toxicity:  0.028
Maximum Recommended Daily Dose:  0.118 Skin Sensitization:  1.0
Carcinogencity:  0.545 Eye Corrosion:  0.0
Eye Irritation:  0.003 Respiratory Toxicity:  0.013
Drug-induced Neurotoxicity:  0.014 Ototoxicity:  0.992
Hematotoxicity:  0.301 Drug-induced Nephrotoxicity:  0.974
Genotoxicity:  0.513 RPMI-8226 Immunitoxicity:  0.118
A549 Cytotoxicity:  0.36 Hek293 Cytotoxicity:  0.422
BCF:   1.517
?
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:   3.911
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.656
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.803
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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
NPO28821 Stichopus horrens Species Stichopodidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28821 Stichopus horrens Species Stichopodidae 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
NPT91 Cell line KB Homo sapiens IC50 = 33480.0 nM PMID[28512032]
NPT83 Cell line MCF7 Homo sapiens IC50 = 41860.0 nM PMID[28512032]
NPT147 Cell line SK-MEL-2 Homo sapiens IC50 = 43530.0 nM PMID[28512032]
NPT65 Cell line HepG2 Homo sapiens IC50 = 37930.0 nM PMID[28512032]
NPT858 Cell line LNCaP Homo sapiens IC50 = 51560.0 nM PMID[28512032]

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 NPC603546 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
0.7938 Intermediate Similarity NPC603831
0.7812 Intermediate Similarity NPC603580
0.6869 Remote Similarity NPC603581
0.5763 Remote Similarity NPC484546
0.5545 Remote Similarity NPC480475
0.5505 Remote Similarity NPC112352
0.5495 Remote Similarity NPC63159
0.541 Remote Similarity NPC484545
0.5214 Remote Similarity NPC481078
0.5179 Remote Similarity NPC160415
0.5167 Remote Similarity NPC79643
0.5133 Remote Similarity NPC164389
0.5128 Remote Similarity NPC480473
0.5128 Remote Similarity NPC480474
0.5091 Remote Similarity NPC14630
0.5091 Remote Similarity NPC127056
0.5083 Remote Similarity NPC475287
0.5082 Remote Similarity NPC123199
0.5043 Remote Similarity NPC475504
0.504 Remote Similarity NPC484547

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC603546 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