Natural Product: NPC481749

Natural Product IDNPC481749
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KRWSPKQJZFJPQT-MHQKDACBSA-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]

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 KRWSPKQJZFJPQT-MHQKDACBSA-N
Standard InCHI InChI=1S/C32H42O11/c1-7-8-9-10-11-12-13-14-22(35)42-27-23-26-29(16-33,43-26)28(37)32(40)21(15-18(4)24(32)36)31(23,39)19(5)25(41-20(6)34)30(27,38)17(2)3/h9-15,19,21,23,25-28,33,37-40H,2,7-8,16H2,1,3-6H3/b10-9+,12-11+,14-13+/t19-,21+,23+,25-,26+,27-,28-,29+,30+,31+,32-/m1/s1
SMILES CCC/C=C/C=C/C=C/C(=O)O[C@@H]1[C@@H]2[C@H]3[C@@](CO)([C@H]([C@]4([C@@H](C=C(C)C4=O)[C@]2([C@H](C)[C@H]([C@]1(C(=C)C)O)OC(=O)C)O)O)O)O3

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   602.27 Volume:   603.403
?
Van der Waals volume.
Dense:   0.998 LogP:   2.431
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.458
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.353
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   25.0
TPSA:   183.35
?
Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   5.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.083 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.844 Fsp3:   0.594
MCE-18:   87.529
?
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:   0.428 Fluc inhibitor:   0.077
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.05
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.021
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.355 Promiscuous compounds:   0.367

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.526 MDCK Permeability:   -5.058
Pgp-inhibitor:   0.0 Pgp-substrate:   0.592
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):   0.723
20% Bioavailability (F20%):   0.954 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.121
Plasma Protein Binding (PPB):   67.844% Volume Distribution (VD):   -0.205
Fu: 33.668%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.005
BSEP inhibitor:   0.988

ADMET: Metabolism

CYP1A2-inhibitor:   0.011 CYP1A2-substrate:   0.212
CYP2C19-inhibitor:   0.018 CYP2C19-substrate:   0.184
CYP2C9-inhibitor:   0.003 CYP2C9-substrate:   0.517
CYP2D6-inhibitor:   0.018 CYP2D6-substrate:   0.006
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.428
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.908
?
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):  3.77 Half-life (T1/2):  1.692

ADMET: Toxicity

hERG Blockers:  0.017 hERG Blockers (10um):  0.089
Human Hepatotoxicity (H-HT):  0.617 Drug-induced Liver Injury (DILI):  0.511
AMES Toxicity:  0.953 Rat Oral Acute Toxicity:  0.185
Maximum Recommended Daily Dose:  0.475 Skin Sensitization:  1.0
Carcinogencity:  0.453 Eye Corrosion:  0.001
Eye Irritation:  0.588 Respiratory Toxicity:  0.62
Drug-induced Neurotoxicity:  0.216 Ototoxicity:  0.87
Hematotoxicity:  0.782 Drug-induced Nephrotoxicity:  0.899
Genotoxicity:  0.792 RPMI-8226 Immunitoxicity:  0.201
A549 Cytotoxicity:  0.518 Hek293 Cytotoxicity:  0.576
BCF:   0.513
?
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:   3.339
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.18
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.349
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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
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. flower n.a. PMID[21916433]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota flower buds n.a. n.a. PMID[23558238]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[27228307]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota Roots n.a. n.a. PMID[31150241]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[31860304]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[32223193]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO9756 Daphne genkwa Species Thymelaeaceae 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
NPT323 Cell line SW-620 Homo sapiens IC50 > 10000.0 nM PMID[32223193]
NPT2170 Cell line RKO Homo sapiens IC50 > 10000.0 nM PMID[32223193]
NPT114 Cell line LoVo Homo sapiens IC50 > 10000.0 nM PMID[32223193]

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 NPC481749 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
0.9104 High Similarity NPC167154
0.9104 High Similarity NPC481752
0.8971 High Similarity NPC208543
0.8971 High Similarity NPC471940
0.7317 Intermediate Similarity NPC481776
0.7229 Intermediate Similarity NPC251139
0.7105 Intermediate Similarity NPC263899
0.6966 Remote Similarity NPC481775
0.6377 Remote Similarity NPC481748
0.6364 Remote Similarity NPC473919
0.6316 Remote Similarity NPC481747
0.5714 Remote Similarity NPC236999
0.5663 Remote Similarity NPC471939
0.5109 Remote Similarity NPC481746
0.506 Remote Similarity NPC485694
0.5053 Remote Similarity NPC156682
0.5053 Remote Similarity NPC49297

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC481749 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