Natural Product: NPC479074

Natural Product IDNPC479074
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
RIWMWDPZYGSBRN-WXGDXGANSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102221820
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 RIWMWDPZYGSBRN-WXGDXGANSA-N
Standard InCHI InChI=1S/C51H76N8O8S/c1-10-33(8)43-50(66)52-36(23-25-68-9)44(60)53-38(27-31(4)5)46(62)57-42(32(6)7)49(65)56-40(29-35-20-15-12-16-21-35)51(67)59-24-17-22-41(59)48(64)55-37(26-30(2)3)45(61)54-39(47(63)58-43)28-34-18-13-11-14-19-34/h11-16,18-21,30-33,36-43H,10,17,22-29H2,1-9H3,(H,52,66)(H,53,60)(H,54,61)(H,55,64)(H,56,65)(H,57,62)(H,58,63)/t33-,36-,37-,38-,39-,40-,41-,42-,43-/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](C(C)C)C(=N[C@@H](Cc2ccccc2)C(=O)N2CCC[C@H]2C(=N[C@@H](CC(C)C)C(=N[C@@H](Cc2ccccc2)C(=N1)O)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   960.55 Volume:   996.32
?
Van der Waals volume.
Dense:   0.964 LogP:   2.654
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.541
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.357
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   41.0
TPSA:   248.44
?
Topological Polar Surface Area.
H-Bond Acceptor:   16.0
H-Bond Donor:   7.0 Rings:   4.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.095 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.632 Fsp3:   0.608
MCE-18:   114.39
?
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:   0.64 Fluc inhibitor:   0.002
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.024
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.846
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.635 Promiscuous compounds:   0.027

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.244 MDCK Permeability:   -4.843
Pgp-inhibitor:   0.999 Pgp-substrate:   1.0
PAMPA:   0.429
?
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):   0.942
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:   0.59
Plasma Protein Binding (PPB):   92.707% Volume Distribution (VD):   -0.427
Fu: 9.515%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.958 BCRP inhibitor:   0.019
BSEP inhibitor:   0.997

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.992 CYP2C19-substrate:   0.974
CYP2C9-inhibitor:   0.625 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.005
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.952
?
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):  1.088 Half-life (T1/2):  2.235

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:  0.001 Rat Oral Acute Toxicity:  0.437
Maximum Recommended Daily Dose:  0.312 Skin Sensitization:  1.0
Carcinogencity:  0.078 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.567
Drug-induced Neurotoxicity:  0.022 Ototoxicity:  1.0
Hematotoxicity:  0.199 Drug-induced Nephrotoxicity:  1.0
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.0
A549 Cytotoxicity:  0.0 Hek293 Cytotoxicity:  0.0
BCF:   0.538
?
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:   3.621
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.335
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.531
?
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 = 15300.0 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 NPC479074 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
0.8182 Intermediate Similarity NPC479072
0.7831 Intermediate Similarity NPC479069
0.7308 Intermediate Similarity NPC485876
0.6977 Remote Similarity NPC300315
0.6707 Remote Similarity NPC479068
0.6543 Remote Similarity NPC489593
0.6477 Remote Similarity NPC479070
0.6471 Remote Similarity NPC489592
0.6465 Remote Similarity NPC479065
0.641 Remote Similarity NPC200589
0.631 Remote Similarity NPC200964
0.631 Remote Similarity NPC489557
0.6275 Remote Similarity NPC479066
0.6263 Remote Similarity NPC479075
0.6118 Remote Similarity NPC202198
0.6078 Remote Similarity NPC479073
0.6058 Remote Similarity NPC75726
0.6 Remote Similarity NPC255447
0.5979 Remote Similarity NPC328649
0.593 Remote Similarity NPC287401
0.5865 Remote Similarity NPC479076
0.5862 Remote Similarity NPC485094
0.5862 Remote Similarity NPC489829
0.5761 Remote Similarity NPC136797
0.5714 Remote Similarity NPC5194
0.5714 Remote Similarity NPC275110
0.5638 Remote Similarity NPC241794
0.5632 Remote Similarity NPC46427
0.5581 Remote Similarity NPC224315
0.5568 Remote Similarity NPC252878
0.5532 Remote Similarity NPC261934
0.5479 Remote Similarity NPC285926
0.5479 Remote Similarity NPC14672
0.5476 Remote Similarity NPC262077
0.5465 Remote Similarity NPC242482
0.5444 Remote Similarity NPC489824
0.5437 Remote Similarity NPC110602
0.5437 Remote Similarity NPC479071
0.5393 Remote Similarity NPC248283
0.5368 Remote Similarity NPC489825
0.5368 Remote Similarity NPC489826
0.5326 Remote Similarity NPC473322
0.5326 Remote Similarity NPC6975
0.5319 Remote Similarity NPC322878
0.5278 Remote Similarity NPC473002
0.5243 Remote Similarity NPC31385
0.5229 Remote Similarity NPC473003
0.5204 Remote Similarity NPC489165
0.5165 Remote Similarity NPC202521
0.5161 Remote Similarity NPC489556
0.5161 Remote Similarity NPC489822
0.5158 Remote Similarity NPC130309
0.5149 Remote Similarity NPC489828
0.513 Remote Similarity NPC488437
0.5094 Remote Similarity NPC238945
0.5056 Remote Similarity NPC486664

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC479074 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