Natural Product: NPC9273

Natural Product IDNPC9273
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(-)-Duryne B
IUPAC Name (3R,4E,15Z,28E,30R)-dotriaconta-4,15,28-trien-1,31-diyne-3,30-diol
Synonyms (-)-Duryne B
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1801789
PubChem CID 53354921
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0001334] Fatty alcohols

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 ZEWIWYQCBPUQNR-JIHXWXSTSA-N
Standard InCHI InChI=1S/C32H52O2/c1-3-31(33)29-27-25-23-21-19-17-15-13-11-9-7-5-6-8-10-12-14-16-18-20-22-24-26-28-30-32(34)4-2/h1-2,5,7,27-34H,6,8-26H2/b7-5-,29-27+,30-28+/t31-,32-/m0/s1
SMILES C#C[C@@H](/C=C/CCCCCCCCC/C=CCCCCCCCCCCC/C=C/[C@H](C#C)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   468.4 Volume:   561.153
?
Van der Waals volume.
Dense:   0.835 LogP:   7.861
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.432
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -7.952
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   24.0 Rigid Bonds:   5.0
TPSA:   40.46
?
Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   2.0 Rings:   0.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.085 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.574 Fsp3:   0.688
MCE-18:   2.0
?
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:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.656 Fluc inhibitor:   0.004
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.001
?
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:   0.706 Promiscuous compounds:   0.046

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.021 MDCK Permeability:   -4.616
Pgp-inhibitor:   0.0 Pgp-substrate:   0.0
PAMPA:   0.0
?
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%):   0.006 30% Bioavailability (F30%):   0.818
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.0
Plasma Protein Binding (PPB):   100.217% Volume Distribution (VD):   0.218
Fu: 0.047%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.012
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.994
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.582
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.008
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.138
CYP2D6-inhibitor:   0.028 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.035
?
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):  4.129 Half-life (T1/2):  1.189

ADMET: Toxicity

hERG Blockers:  0.033 hERG Blockers (10um):  0.619
Human Hepatotoxicity (H-HT):  0.55 Drug-induced Liver Injury (DILI):  0.001
AMES Toxicity:  0.039 Rat Oral Acute Toxicity:  0.179
Maximum Recommended Daily Dose:  0.889 Skin Sensitization:  1.0
Carcinogencity:  0.408 Eye Corrosion:  0.002
Eye Irritation:  0.576 Respiratory Toxicity:  1.0
Drug-induced Neurotoxicity:  0.039 Ototoxicity:  0.889
Hematotoxicity:  0.001 Drug-induced Nephrotoxicity:  0.789
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.633
A549 Cytotoxicity:  0.863 Hek293 Cytotoxicity:  0.74
BCF:   0.489
?
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:   5.309
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.422
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.151
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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
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. (15-25 m depth) off Komun Island, Korea 1995-JUL PMID[10217707]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[10346968]
NPO30927 Petrosia Genus Petrosiidae Eukaryota n.a. n.a. n.a. PMID[10514299]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[11170665]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[11754614]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. Indonesia 1996 PMID[18327911]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. Miyako sea-knoll, southwestern Japan (2525.64' N, 12542.48' E), at a depth of 415 m 2009-OCT PMID[21534590]
NPO30927 Petrosia Genus Petrosiidae Eukaryota n.a. n.a. n.a. PMID[21534590]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. American Samoa n.a. PMID[23368996]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[26821210]
NPO30927 Petrosia Genus Petrosiidae Eukaryota n.a. n.a. n.a. PMID[9784165]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[9917297]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota 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
NPT165 Cell line HeLa Homo sapiens IC50 = 260.0 nM PMID[21534590]
NPT168 Cell line P388 Mus musculus IC50 = 160.0 nM PMID[21534590]
NPT180 Cell line HCT-8 Homo sapiens IC50 = 160.0 nM PMID[21534590]
NPT81 Cell line A549 Homo sapiens IC50 = 160.0 nM PMID[21534590]
NPT83 Cell line MCF7 Homo sapiens IC50 = 160.0 nM PMID[21534590]

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 NPC9273 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
1.0 High Similarity NPC170776
1.0 High Similarity NPC165447
1.0 High Similarity NPC471959
1.0 High Similarity NPC199286
1.0 High Similarity NPC489046
1.0 High Similarity NPC76198
1.0 High Similarity NPC610719
0.9545 High Similarity NPC607242
0.9524 High Similarity NPC125122
0.9524 High Similarity NPC471276
0.9524 High Similarity NPC471280
0.9524 High Similarity NPC471281
0.875 High Similarity NPC474642
0.875 High Similarity NPC473913
0.8333 Intermediate Similarity NPC249670
0.7407 Intermediate Similarity NPC474644
0.7241 Intermediate Similarity NPC161838
0.7 Intermediate Similarity NPC471960
0.7 Intermediate Similarity NPC477727
0.6667 Remote Similarity NPC471239
0.6667 Remote Similarity NPC474643
0.6667 Remote Similarity NPC473865
0.6667 Remote Similarity NPC55383
0.6364 Remote Similarity NPC197272
0.6176 Remote Similarity NPC89824
0.6176 Remote Similarity NPC475477
0.6176 Remote Similarity NPC256656
0.6176 Remote Similarity NPC294278
0.6176 Remote Similarity NPC477723
0.6 Remote Similarity NPC470966
0.5833 Remote Similarity NPC48058
0.5833 Remote Similarity NPC470963
0.5833 Remote Similarity NPC477661
0.5833 Remote Similarity NPC603233
0.5833 Remote Similarity NPC607245
0.5556 Remote Similarity NPC471278
0.5526 Remote Similarity NPC224148
0.5526 Remote Similarity NPC477726
0.5526 Remote Similarity NPC477725
0.5484 Remote Similarity NPC124183
0.5484 Remote Similarity NPC482802
0.5385 Remote Similarity NPC473896
0.5385 Remote Similarity NPC473735
0.5385 Remote Similarity NPC146551
0.5385 Remote Similarity NPC329608
0.5333 Remote Similarity NPC600749
0.5333 Remote Similarity NPC601019
0.5312 Remote Similarity NPC91226
0.5312 Remote Similarity NPC243546
0.5312 Remote Similarity NPC31194
0.5312 Remote Similarity NPC248884
0.5263 Remote Similarity NPC470970
0.525 Remote Similarity NPC473847
0.525 Remote Similarity NPC473721
0.525 Remote Similarity NPC473725
0.525 Remote Similarity NPC473910
0.525 Remote Similarity NPC475384
0.525 Remote Similarity NPC473532
0.5152 Remote Similarity NPC72699

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC9273 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