Natural Product: NPC5194

Natural Product IDNPC5194
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Hymenistatin 1
IUPAC Name n.a.
Synonyms Hymenistatin 1
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2370330
PubChem CID 10102206
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 NACGNHONDBBQGE-MXKYYYADSA-N
Standard InCHI InChI=1S/C47H72N8O9/c1-9-28(7)38-44(61)52-39(29(8)10-2)47(64)55-23-13-16-36(55)45(62)53-21-11-14-34(53)42(59)49-33(25-30-17-19-31(56)20-18-30)41(58)50-37(27(5)6)46(63)54-22-12-15-35(54)43(60)48-32(24-26(3)4)40(57)51-38/h17-20,26-29,32-39,56H,9-16,21-25H2,1-8H3,(H,48,60)(H,49,59)(H,50,58)(H,51,57)(H,52,61)/t28-,29-,32-,33-,34-,35-,36-,37-,38-,39-/m0/s1
SMILES CC[C@@H]([C@@H]1N=C(O)[C@H](CC(C)C)N=C(O)[C@@H]2CCCN2C(=O)[C@@H](N=C(O)[C@@H](N=C([C@H]2N(C(=O)[C@H]3N(C(=O)[C@@H](N=C1O)[C@H](CC)C)CCC3)CCC2)O)Cc1ccc(cc1)O)C(C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   892.54 Volume:   916.771
?
Van der Waals volume.
Dense:   0.974 LogP:   2.314
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.714
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.266
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   45.0
TPSA:   244.11
?
Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   6.0 Rings:   5.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.162 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.456 Fsp3:   0.702
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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.432 Fluc inhibitor:   0.004
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.01
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.745
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.002 Promiscuous compounds:   0.078

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.356 MDCK Permeability:   -5.068
Pgp-inhibitor:   1.0 Pgp-substrate:   1.0
PAMPA:   0.012
?
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):   0.987
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:   0.664
Plasma Protein Binding (PPB):   66.193% Volume Distribution (VD):   -0.145
Fu: 31.436%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.055
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.008 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 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:   0.0
?
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):  1.736 Half-life (T1/2):  2.439

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:  0.006 Rat Oral Acute Toxicity:  0.524
Maximum Recommended Daily Dose:  0.005 Skin Sensitization:  1.0
Carcinogencity:  0.949 Eye Corrosion:  0.0
Eye Irritation:  0.002 Respiratory Toxicity:  0.717
Drug-induced Neurotoxicity:  0.028 Ototoxicity:  1.0
Hematotoxicity:  0.815 Drug-induced Nephrotoxicity:  1.0
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.0
A549 Cytotoxicity:  0.0 Hek293 Cytotoxicity:  0.0
BCF:   0.476
?
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:   3.524
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.159
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.295
?
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
NPO17477 Potentilla indica Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[37765360]
NPO14751 Anisodoris nobilis Species Discodorididae Eukaryota n.a. n.a. n.a. PMID[7241154]
NPO9435 Acacia georginae Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14751 Anisodoris nobilis Species Discodorididae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28868 Pardachirus pavoninus Species Soleidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21698 Crinum augustum Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12664 Haplanthus tentaculatus n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO6751 Clusia grandiflora Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO757 Dorycnium graecum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11799 Ursinia saxatilis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17233 Picrodendron baccatum Species Picrodendraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16836 Polyporus picipes Species Polyporaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16589 Clitocybe conglobata Species Tricholomataceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17477 Potentilla indica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17233 Picrodendron baccatum Species Picrodendraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16836 Polyporus picipes Species Polyporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17695 Calyptranthes tricona Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15034 Intsia bijuga Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9435 Acacia georginae Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11480 Haematomma puniceum Species Haematommataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17016 Cassinia aculeata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14751 Anisodoris nobilis Species Discodorididae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21698 Crinum augustum Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6751 Clusia grandiflora Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11799 Ursinia saxatilis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28868 Pardachirus pavoninus Species Soleidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17233 Picrodendron baccatum Species Picrodendraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO757 Dorycnium graecum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13365 Helminthosporium euchlaenae Species Massarinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17477 Potentilla indica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13830 Alcaligenes faecalis Species Alcaligenaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO16589 Clitocybe conglobata Species Tricholomataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17935 Pedicularis lasiophrys Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12664 Haplanthus tentaculatus n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO16723 Gascardia madagascariensis n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO17160 Dimerostemma lippioides Species Asteraceae 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
NPT377 Cell line OVCAR-3 Homo sapiens GI50 = 40000.0 nM DOI[10.1016/S0960-894X(01)80843-X]
NPT399 Cell line SF-295 Homo sapiens GI50 = 300000.0 nM DOI[10.1016/S0960-894X(01)80843-X]
NPT376 Cell line A498 Homo sapiens GI50 = 700000.0 nM DOI[10.1016/S0960-894X(01)80843-X]
NPT397 Cell line NCI-H460 Homo sapiens GI50 = 300000.0 nM DOI[10.1016/S0960-894X(01)80843-X]
NPT575 Cell line KM-20L2 Homo sapiens GI50 = 100000.0 nM DOI[10.1016/S0960-894X(01)80843-X]
NPT373 Cell line SK-MEL-5 Homo sapiens GI50 = 600000.0 nM DOI[10.1016/S0960-894X(01)80843-X]

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 NPC5194 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
0.9333 High Similarity NPC261934
0.7949 Intermediate Similarity NPC489556
0.7901 Intermediate Similarity NPC489825
0.7901 Intermediate Similarity NPC489826
0.7895 Intermediate Similarity NPC479068
0.7349 Intermediate Similarity NPC479070
0.7326 Intermediate Similarity NPC302597
0.7093 Intermediate Similarity NPC479069
0.6897 Remote Similarity NPC489827
0.6889 Remote Similarity NPC489828
0.6543 Remote Similarity NPC485876
0.65 Remote Similarity NPC242482
0.6392 Remote Similarity NPC489823
0.631 Remote Similarity NPC489829
0.6292 Remote Similarity NPC101679
0.6222 Remote Similarity NPC262166
0.6222 Remote Similarity NPC241794
0.622 Remote Similarity NPC224315
0.6081 Remote Similarity NPC486124
0.6076 Remote Similarity NPC200589
0.6071 Remote Similarity NPC489591
0.6 Remote Similarity NPC136797
0.5977 Remote Similarity NPC479072
0.5977 Remote Similarity NPC489592
0.5955 Remote Similarity NPC488256
0.5882 Remote Similarity NPC487230
0.587 Remote Similarity NPC141957
0.5814 Remote Similarity NPC202198
0.5714 Remote Similarity NPC326349
0.5714 Remote Similarity NPC323336
0.5714 Remote Similarity NPC328649
0.5714 Remote Similarity NPC479074
0.5673 Remote Similarity NPC487229
0.5632 Remote Similarity NPC16188
0.5607 Remote Similarity NPC61004
0.5556 Remote Similarity NPC489822
0.5495 Remote Similarity NPC487674
0.5495 Remote Similarity NPC89489
0.5455 Remote Similarity NPC275110
0.5333 Remote Similarity NPC489824
0.5281 Remote Similarity NPC287401
0.5281 Remote Similarity NPC489557
0.5269 Remote Similarity NPC56685
0.5263 Remote Similarity NPC242159
0.5244 Remote Similarity NPC489594
0.5244 Remote Similarity NPC153491
0.5222 Remote Similarity NPC485094
0.5217 Remote Similarity NPC6975
0.5213 Remote Similarity NPC130309
0.5213 Remote Similarity NPC322878
0.5205 Remote Similarity NPC118202
0.5128 Remote Similarity NPC479752
0.5114 Remote Similarity NPC489593
0.5104 Remote Similarity NPC488254
0.5049 Remote Similarity NPC223791

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC5194 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