Natural Product: NPC479574

Natural Product IDNPC479574
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
YPRHSVNHBIVLHS-ZBPOMXMDSA-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 YPRHSVNHBIVLHS-ZBPOMXMDSA-N
Standard InCHI InChI=1S/C87H153N23O18/c1-12-51(8)70(107-69(113)45-93)85(126)104-64(43-50(6)7)79(120)105-67(48-112)82(123)106-66(47-111)81(122)102-63(42-49(4)5)78(119)103-65(44-55-46-95-57-29-16-15-28-56(55)57)80(121)99-59(31-18-23-37-89)76(117)101-62(34-21-26-40-92)87(128)110-41-27-35-68(110)83(124)100-60(32-19-24-38-90)75(116)98-61(33-20-25-39-91)77(118)108-72(53(10)14-3)86(127)109-71(52(9)13-2)84(125)96-54(11)74(115)97-58(73(94)114)30-17-22-36-88/h15-16,28-29,46,49-54,58-68,70-72,95,111-112H,12-14,17-27,30-45,47-48,88-93H2,1-11H3,(H2,94,114)(H,96,125)(H,97,115)(H,98,116)(H,99,121)(H,100,124)(H,101,117)(H,102,122)(H,103,119)(H,104,126)(H,105,120)(H,106,123)(H,107,113)(H,108,118)(H,109,127)/t51-,52-,53-,54-,58-,59-,60-,61-,62-,63-,64-,65-,66-,67-,68-,70-,71-,72-/m0/s1
SMILES CC[C@H](C)[C@@H](C(=N[C@@H](CC(C)C)C(=N[C@@H](CO)C(=N[C@@H](CO)C(=N[C@@H](CC(C)C)C(=N[C@@H](Cc1c[nH]c2ccccc12)C(=N[C@@H](CCCCN)C(=N[C@@H](CCCCN)C(=O)N1CCC[C@H]1C(=N[C@@H](CCCCN)C(=N[C@@H](CCCCN)C(=N[C@@H]([C@@H](C)CC)C(=N[C@@H]([C@@H](C)CC)C(=N[C@@H](C)C(=N[C@@H](CCCCN)C(=N)O)O)O)O)O)O)O)O)O)O)O)O)O)O)N=C(CN)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1808.18 Volume:   1846.058
?
Van der Waals volume.
Dense:   0.979 LogP:   3.754
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.937
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.251
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   65.0 Rigid Bonds:   31.0
TPSA:   733.02
?
Topological Polar Surface Area.
H-Bond Acceptor:   41.0
H-Bond Donor:   31.0 Rings:   3.0
Heavy Atoms:   41.0

MedChem Properties

QED Drug-Likeness Score:   0.017 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   8.003 Fsp3:   0.724
MCE-18:   149.613
?
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:   0.336 Fluc inhibitor:   0.021
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.245
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.759
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.006 Promiscuous compounds:   0.226

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.856 MDCK Permeability:   -5.208
Pgp-inhibitor:   0.0 Pgp-substrate:   1.0
PAMPA:   1.0
?
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):   1.0
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.001
Plasma Protein Binding (PPB):   19.345% Volume Distribution (VD):   -0.252
Fu: 80.779%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.001

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.953 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.975 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.0
?
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):  -0.663 Half-life (T1/2):  3.778

ADMET: Toxicity

hERG Blockers:  0.0 hERG Blockers (10um):  0.0
Human Hepatotoxicity (H-HT):  1.0 Drug-induced Liver Injury (DILI):  1.0
AMES Toxicity:  0.989 Rat Oral Acute Toxicity:  0.785
Maximum Recommended Daily Dose:  0.147 Skin Sensitization:  1.0
Carcinogencity:  0.001 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.983
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.0 Drug-induced Nephrotoxicity:  0.988
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.0
A549 Cytotoxicity:  0.0 Hek293 Cytotoxicity:  0.013
BCF:   -0.029
?
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:   3.565
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.903
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.043
?
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
NPO40163 Hylaeus signatus Species Colletidae Eukaryota Venom n.a. n.a. PMID[26998557]

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
NPT729 Organism Micrococcus luteus Micrococcus luteus MIC = 5800.0 nM PMID[26998557]
NPT20 Organism Candida albicans Candida albicans MIC > 100000.0 nM PMID[26998557]
NPT79 Organism Bacillus subtilis Bacillus subtilis MIC = 49000.0 nM PMID[26998557]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC > 100000.0 nM PMID[26998557]
NPT17 Organism Staphylococcus epidermidis Staphylococcus epidermidis MIC > 100000.0 nM PMID[26998557]
NPT19 Organism Escherichia coli Escherichia coli MIC > 100000.0 nM PMID[26998557]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa MIC = 98000.0 nM PMID[26998557]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa MIC > 100000.0 nM PMID[26998557]

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 NPC479574 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
0.8381 Intermediate Similarity NPC479572
0.8381 Intermediate Similarity NPC479568
0.8381 Intermediate Similarity NPC479573
0.8381 Intermediate Similarity NPC479566
0.8381 Intermediate Similarity NPC479567
0.8381 Intermediate Similarity NPC479569
0.8381 Intermediate Similarity NPC479571
0.8302 Intermediate Similarity NPC479570
0.7042 Intermediate Similarity NPC320968
0.641 Remote Similarity NPC110602
0.641 Remote Similarity NPC479071
0.6241 Remote Similarity NPC484874
0.617 Remote Similarity NPC75634
0.6066 Remote Similarity NPC479065
0.6048 Remote Similarity NPC479066
0.6 Remote Similarity NPC54420
0.6 Remote Similarity NPC75726
0.5987 Remote Similarity NPC479141
0.5966 Remote Similarity NPC31385
0.5882 Remote Similarity NPC223791
0.5802 Remote Similarity NPC486515
0.5763 Remote Similarity NPC107077
0.5746 Remote Similarity NPC486282
0.5736 Remote Similarity NPC100321
0.5714 Remote Similarity NPC325976
0.5714 Remote Similarity NPC326363
0.5682 Remote Similarity NPC483985
0.5672 Remote Similarity NPC489555
0.5645 Remote Similarity NPC155143
0.5645 Remote Similarity NPC479075
0.5635 Remote Similarity NPC479073
0.5619 Remote Similarity NPC479563
0.5619 Remote Similarity NPC479561
0.5619 Remote Similarity NPC479560
0.5619 Remote Similarity NPC479564
0.5591 Remote Similarity NPC479076
0.5546 Remote Similarity NPC293917
0.5515 Remote Similarity NPC477635
0.547 Remote Similarity NPC489625
0.5455 Remote Similarity NPC486283
0.5449 Remote Similarity NPC486506
0.5449 Remote Similarity NPC485247
0.5449 Remote Similarity NPC486514
0.5389 Remote Similarity NPC489511
0.5389 Remote Similarity NPC484965
0.5376 Remote Similarity NPC329843
0.5354 Remote Similarity NPC482001
0.5225 Remote Similarity NPC486517
0.5221 Remote Similarity NPC479557
0.5221 Remote Similarity NPC479554
0.5221 Remote Similarity NPC479556
0.5221 Remote Similarity NPC479558
0.5221 Remote Similarity NPC479555
0.521 Remote Similarity NPC213629
0.5167 Remote Similarity NPC479083
0.5122 Remote Similarity NPC483341
0.511 Remote Similarity NPC479082
0.5078 Remote Similarity NPC479553
0.5078 Remote Similarity NPC479552
0.5078 Remote Similarity NPC479551
0.5078 Remote Similarity NPC479548
0.5078 Remote Similarity NPC479549
0.5078 Remote Similarity NPC479550
0.5057 Remote Similarity NPC477634
0.5041 Remote Similarity NPC171317
0.5039 Remote Similarity NPC162860
0.5033 Remote Similarity NPC485785
0.5029 Remote Similarity NPC485244
0.5028 Remote Similarity NPC489512

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC479574 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
0.5546 Remote Similarity NPD7621 Clinical (unspecified phase)
0.5203 Remote Similarity NPD8431 Pre-clinical
0.5156 Remote Similarity NPD8405 Pre-clinical
0.5108 Remote Similarity NPD8493 Clinical (unspecified phase)

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