Natural Product: NPC481744

Natural Product IDNPC481744
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PCONVUFXNJIGJM-YGYZOSCRSA-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 PCONVUFXNJIGJM-YGYZOSCRSA-N
Standard InCHI InChI=1S/C36H50O10/c1-7-9-11-12-13-14-16-18-33-44-30-26-29-32(20-37,43-29)31(40)34(41)24(19-22(5)27(34)39)36(26,46-33)23(6)28(35(30,45-33)21(3)4)42-25(38)17-15-10-8-2/h13-14,16,18-19,23-24,26,28-31,37,40-41H,3,7-12,15,17,20H2,1-2,4-6H3/b14-13+,18-16+/t23-,24-,26+,28-,29+,30-,31-,32+,33-,34-,35+,36+/m1/s1
SMILES CCCCC/C=C/C=C/[C@@]12O[C@@H]3[C@@H]4[C@H]5[C@@](CO)([C@H]([C@]6([C@@H](C=C(C)C6=O)[C@]4([C@H](C)[C@H]([C@]3(C(=C)C)O1)OC(=O)CCCCC)O2)O)O)O5

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   642.34 Volume:   651.957
?
Van der Waals volume.
Dense:   0.985 LogP:   4.446
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.302
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.8
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   29.0
TPSA:   144.28
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.089 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.814 Fsp3:   0.722
MCE-18:   105.032
?
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:   0.519 Fluc inhibitor:   0.063
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.005
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.01
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.155 Promiscuous compounds:   0.474

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.298 MDCK Permeability:   -4.933
Pgp-inhibitor:   0.015 Pgp-substrate:   0.035
PAMPA:   0.048
?
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):   0.004
20% Bioavailability (F20%):   0.305 30% Bioavailability (F30%):   0.978
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.069 MRP1:   0.906
Plasma Protein Binding (PPB):   96.858% Volume Distribution (VD):   -0.009
Fu: 2.723%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.993
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.085
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.931
CYP2C19-inhibitor:   0.009 CYP2C19-substrate:   0.974
CYP2C9-inhibitor:   0.014 CYP2C9-substrate:   0.009
CYP2D6-inhibitor:   0.05 CYP2D6-substrate:   0.022
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.999
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.381
?
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):  4.341 Half-life (T1/2):  0.872

ADMET: Toxicity

hERG Blockers:  0.128 hERG Blockers (10um):  0.418
Human Hepatotoxicity (H-HT):  0.444 Drug-induced Liver Injury (DILI):  0.22
AMES Toxicity:  0.834 Rat Oral Acute Toxicity:  0.615
Maximum Recommended Daily Dose:  0.52 Skin Sensitization:  1.0
Carcinogencity:  0.258 Eye Corrosion:  0.047
Eye Irritation:  0.659 Respiratory Toxicity:  0.902
Drug-induced Neurotoxicity:  0.104 Ototoxicity:  0.8
Hematotoxicity:  0.752 Drug-induced Nephrotoxicity:  0.566
Genotoxicity:  0.005 RPMI-8226 Immunitoxicity:  0.27
A549 Cytotoxicity:  0.783 Hek293 Cytotoxicity:  0.658
BCF:   1.574
?
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:   4.556
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.946
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.43
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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
NPT25 Cell line MT4 Homo sapiens CC50 > 6200.0 nM PMID[31860304]
NPT24 Organism Human immunodeficiency virus 1 Human immunodeficiency virus 1 IC50 < 0.8 nM PMID[31860304]
NPT2 Others Unspecified n.a. Ratio CC50/IC50 > 7987.0 n.a. PMID[31860304]

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 NPC481744 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
0.973 High Similarity NPC481743
0.9595 High Similarity NPC39509
0.92 High Similarity NPC75831
0.92 High Similarity NPC471137
0.9067 High Similarity NPC223356
0.9067 High Similarity NPC298697
0.9067 High Similarity NPC475500
0.9067 High Similarity NPC100017
0.9067 High Similarity NPC481742
0.8947 High Similarity NPC182266
0.8947 High Similarity NPC475154
0.8947 High Similarity NPC485700
0.8831 High Similarity NPC471136
0.8831 High Similarity NPC116727
0.8312 Intermediate Similarity NPC324104
0.8312 Intermediate Similarity NPC473548
0.8205 Intermediate Similarity NPC180902
0.7556 Intermediate Similarity NPC101786
0.75 Intermediate Similarity NPC251564
0.75 Intermediate Similarity NPC477189
0.7416 Intermediate Similarity NPC92598
0.7416 Intermediate Similarity NPC43304
0.7416 Intermediate Similarity NPC481753
0.7416 Intermediate Similarity NPC477188
0.7416 Intermediate Similarity NPC477190
0.7407 Intermediate Similarity NPC474508
0.7407 Intermediate Similarity NPC473485
0.7407 Intermediate Similarity NPC171411
0.7407 Intermediate Similarity NPC485701
0.7391 Intermediate Similarity NPC481773
0.7195 Intermediate Similarity NPC475314
0.7195 Intermediate Similarity NPC102997
0.7108 Intermediate Similarity NPC485693
0.6957 Remote Similarity NPC130886
0.6957 Remote Similarity NPC486153
0.6813 Remote Similarity NPC164150
0.6813 Remote Similarity NPC481754
0.6809 Remote Similarity NPC481774
0.68 Remote Similarity NPC69240
0.6627 Remote Similarity NPC162495
0.6548 Remote Similarity NPC475606
0.6383 Remote Similarity NPC68282
0.6275 Remote Similarity NPC191992
0.587 Remote Similarity NPC475139
0.5591 Remote Similarity NPC473838
0.5556 Remote Similarity NPC481745
0.54 Remote Similarity NPC486154
0.5312 Remote Similarity NPC605479
0.5227 Remote Similarity NPC475273
0.5227 Remote Similarity NPC168849
0.5227 Remote Similarity NPC217901
0.5227 Remote Similarity NPC611341
0.5158 Remote Similarity NPC481750

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC481744 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