Natural Product: NPC75726

Natural Product IDNPC75726
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Cyclolinopeptide H
IUPAC Name (3S,6S,9S,12S,15S,18S,21S,24S)-18,21-dibenzyl-12-[(2S)-butan-2-yl]-15-(1H-indol-3-ylmethyl)-6-(2-methylpropyl)-3-(2-methylsulfanylethyl)-9-(2-methylsulfinylethyl)-1,4,7,10,13,16,19,22-octazabicyclo[22.3.0]heptacosane-2,5,8,11,14,17,20,23-octone
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3785507
PubChem CID 10558089
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 RGLVOQUKDGQVGR-MYFHKKGJSA-N
Standard InCHI InChI=1S/C56H75N9O9S2/c1-7-35(4)48-55(72)58-41(25-28-76(6)74)49(66)60-43(29-34(2)3)50(67)59-42(24-27-75-5)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-,76?/m0/s1
SMILES CSCC[C@@H]1N=C(O)[C@H](CC(C)C)N=C(O)[C@H](CCS(=O)C)N=C(O)[C@@H](N=C(O)[C@@H](N=C([C@@H](N=C([C@@H](N=C([C@H]2N(C1=O)CCC2)O)Cc1ccccc1)O)Cc1ccccc1)O)Cc1c[nH]c2c1cccc2)[C@H](CC)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1081.51 Volume:   1093.438
?
Van der Waals volume.
Dense:   0.989 LogP:   1.413
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.433
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.865
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   16.0 Rigid Bonds:   51.0
TPSA:   287.29
?
Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   8.0 Rings:   6.0
Heavy Atoms:   20.0

MedChem Properties

QED Drug-Likeness Score:   0.049 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.014 Fsp3:   0.5
MCE-18:   140.262
?
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:   0.726 Fluc inhibitor:   0.001
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.028
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.616
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.749 Promiscuous compounds:   0.079

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.302 MDCK Permeability:   -4.892
Pgp-inhibitor:   0.986 Pgp-substrate:   1.0
PAMPA:   0.247
?
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):   0.887
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:   0.481
Plasma Protein Binding (PPB):   82.693% Volume Distribution (VD):   -0.527
Fu: 16.066%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.99
OATP1B3 inhibitor:   0.208 BCRP inhibitor:   0.082
BSEP inhibitor:   0.973

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.599
CYP2C9-inhibitor:   0.918 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:   0.79
?
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):  0.769 Half-life (T1/2):  2.139

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:  0.047 Rat Oral Acute Toxicity:  0.904
Maximum Recommended Daily Dose:  0.981 Skin Sensitization:  1.0
Carcinogencity:  0.609 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.851
Drug-induced Neurotoxicity:  0.018 Ototoxicity:  1.0
Hematotoxicity:  0.219 Drug-induced Nephrotoxicity:  1.0
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.0
A549 Cytotoxicity:  0.0 Hek293 Cytotoxicity:  0.0
BCF:   0.437
?
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:   3.561
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.154
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.406
?
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 = 830.0 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 NPC75726 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
0.9381 High Similarity NPC479076
0.9286 High Similarity NPC479066
0.9175 High Similarity NPC479065
0.8958 High Similarity NPC110602
0.8958 High Similarity NPC479071
0.87 High Similarity NPC479073
0.8586 High Similarity NPC479075
0.8367 Intermediate Similarity NPC31385
0.6179 Remote Similarity NPC325976
0.6179 Remote Similarity NPC326363
0.614 Remote Similarity NPC162860
0.6126 Remote Similarity NPC223791
0.6106 Remote Similarity NPC54420
0.6058 Remote Similarity NPC479074
0.6019 Remote Similarity NPC487314
0.6 Remote Similarity NPC107077
0.6 Remote Similarity NPC479574
0.598 Remote Similarity NPC479072
0.5909 Remote Similarity NPC293917
0.5748 Remote Similarity NPC489555
0.5701 Remote Similarity NPC479070
0.5688 Remote Similarity NPC479069
0.5688 Remote Similarity NPC489625
0.5683 Remote Similarity NPC75634
0.5532 Remote Similarity NPC484874
0.5417 Remote Similarity NPC482001
0.5333 Remote Similarity NPC155143
0.5317 Remote Similarity NPC100321
0.5304 Remote Similarity NPC483341
0.5268 Remote Similarity NPC213629
0.5263 Remote Similarity NPC49954
0.5238 Remote Similarity NPC479068
0.5185 Remote Similarity NPC34779
0.5154 Remote Similarity NPC483985
0.51 Remote Similarity NPC17059
0.5045 Remote Similarity NPC322878
0.5033 Remote Similarity NPC153400

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC75726 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
0.6 Remote Similarity NPD8493 Clinical (unspecified phase)
0.5909 Remote Similarity NPD7621 Clinical (unspecified phase)
0.5727 Remote Similarity NPD8110 Clinical (unspecified phase)
0.5462 Remote Similarity NPD8405 Pre-clinical
0.5122 Remote Similarity NPD8272 Phase 2

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