Natural Product: NPC479065

Natural Product IDNPC479065
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NVPFTBGGCSIVLT-QLDHPPGQSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102221822
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0000013] Amino acids, peptides, and analogues
          • [CHEMONTID:0000348] Peptides
            • [CHEMONTID:0004831] Oligopeptides

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 NVPFTBGGCSIVLT-QLDHPPGQSA-N
Standard InCHI InChI=1S/C56H75N9O8S2/c1-7-35(4)48-55(72)58-41(24-27-74-5)49(66)60-43(29-34(2)3)50(67)59-42(25-28-75-6)56(73)65-26-16-23-47(65)54(71)63-45(31-37-19-12-9-13-20-37)52(69)61-44(30-36-17-10-8-11-18-36)51(68)62-46(53(70)64-48)32-38-33-57-40-22-15-14-21-39(38)40/h8-15,17-22,33-35,41-48,57H,7,16,23-32H2,1-6H3,(H,58,72)(H,59,67)(H,60,66)(H,61,69)(H,62,68)(H,63,71)(H,64,70)/t35-,41-,42-,43-,44-,45-,46-,47-,48-/m0/s1
SMILES CC[C@H](C)[C@H]1C(=N[C@@H](CCSC)C(=N[C@@H](CC(C)C)C(=N[C@@H](CCSC)C(=O)N2CCC[C@H]2C(=N[C@@H](Cc2ccccc2)C(=N[C@@H](Cc2ccccc2)C(=N[C@@H](Cc2c[nH]c3ccccc23)C(=N1)O)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1065.52 Volume:   1084.647
?
Van der Waals volume.
Dense:   0.982 LogP:   2.804
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.702
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.94
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The logarithm of aqueous solubility value.
Rotatable Bonds:   16.0 Rigid Bonds:   51.0
TPSA:   264.23
?
Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   8.0 Rings:   6.0
Heavy Atoms:   19.0

MedChem Properties

QED Drug-Likeness Score:   0.053 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.761 Fsp3:   0.5
MCE-18:   137.0
?
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:   0.676 Fluc inhibitor:   0.061
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.086
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.831
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.996 Promiscuous compounds:   0.069

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.191 MDCK Permeability:   -4.781
Pgp-inhibitor:   1.0 Pgp-substrate:   1.0
PAMPA:   0.164
?
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):   0.858
20% Bioavailability (F20%):   0.999 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.376
Plasma Protein Binding (PPB):   94.284% Volume Distribution (VD):   -0.547
Fu: 8.13%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.661 BCRP inhibitor:   0.119
BSEP inhibitor:   0.995

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.938
CYP2C9-inhibitor:   0.98 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.881
?
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):  0.796 Half-life (T1/2):  2.128

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:  0.007 Rat Oral Acute Toxicity:  0.659
Maximum Recommended Daily Dose:  0.675 Skin Sensitization:  1.0
Carcinogencity:  0.392 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.323
Drug-induced Neurotoxicity:  0.034 Ototoxicity:  1.0
Hematotoxicity:  0.195 Drug-induced Nephrotoxicity:  1.0
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.0
A549 Cytotoxicity:  0.0 Hek293 Cytotoxicity:  0.0
BCF:   0.514
?
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:   3.65
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.259
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.577
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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
NPO25114 Linum usitatissimum Species Linaceae Eukaryota Seeds n.a. DOI[10.1002/ejlt.201100207]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s11746-997-0093-1]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota Seeds n.a. DOI[10.5219/332]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota n.a. n.a. n.a. PMID[22537213]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota n.a. n.a. n.a. PMID[24417583]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota Seeds n.a. n.a. PMID[26923696]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota n.a. n.a. Database[FooDB]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota Seed Oil n.a. n.a. Database[FooDB]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota n.a. n.a. Database[FooDB]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25114 Linum usitatissimum Species Linaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO25114 Linum usitatissimum Species Linaceae 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
NPT21723 Cell line Bone marrow cell n.a. IC50 = 490.0 nM PMID[26923696]

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 NPC479065 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
0.9355 High Similarity NPC479075
0.9271 High Similarity NPC479066
0.9175 High Similarity NPC75726
0.8673 High Similarity NPC479073
0.8586 High Similarity NPC479076
0.8163 Intermediate Similarity NPC110602
0.8163 Intermediate Similarity NPC479071
0.76 Intermediate Similarity NPC31385
0.6481 Remote Similarity NPC54420
0.6465 Remote Similarity NPC479074
0.6355 Remote Similarity NPC223791
0.6226 Remote Similarity NPC107077
0.6216 Remote Similarity NPC162860
0.6214 Remote Similarity NPC479069
0.6132 Remote Similarity NPC293917
0.6066 Remote Similarity NPC479574
0.5984 Remote Similarity NPC325976
0.5984 Remote Similarity NPC326363
0.5941 Remote Similarity NPC487314
0.5852 Remote Similarity NPC75634
0.5755 Remote Similarity NPC489625
0.5556 Remote Similarity NPC489555
0.5517 Remote Similarity NPC155143
0.5495 Remote Similarity NPC49954
0.5495 Remote Similarity NPC483341
0.547 Remote Similarity NPC482001
0.5463 Remote Similarity NPC213629
0.5446 Remote Similarity NPC479068
0.5446 Remote Similarity NPC275110
0.544 Remote Similarity NPC483985
0.5421 Remote Similarity NPC300315
0.5385 Remote Similarity NPC34779
0.5379 Remote Similarity NPC153400
0.5357 Remote Similarity NPC484874
0.5312 Remote Similarity NPC17059
0.5288 Remote Similarity NPC479072
0.5242 Remote Similarity NPC100321
0.5182 Remote Similarity NPC487596
0.5165 Remote Similarity NPC63751
0.5133 Remote Similarity NPC171317
0.5106 Remote Similarity NPC485785
0.5046 Remote Similarity NPC479070

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC479065 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
0.625 Remote Similarity NPD8110 Clinical (unspecified phase)
0.6132 Remote Similarity NPD7621 Clinical (unspecified phase)
0.5935 Remote Similarity NPD8493 Clinical (unspecified phase)
0.5294 Remote Similarity NPD8272 Phase 2
0.5254 Remote Similarity NPD8405 Pre-clinical
0.5041 Remote Similarity NPD7711 Discontinued

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