Natural Product: NPC123555

Natural Product IDNPC123555
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DJEZYUIBCFEXFX-BMTHBCBRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 637444
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000129] Alcohols and polyols
          • [CHEMONTID:0001292] Cyclic alcohols and derivatives

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 DJEZYUIBCFEXFX-BMTHBCBRSA-N
Standard InCHI InChI=1S/C29H44O4/c1-17-18-9-10-28(6)22(26(18,4)16-21(30)23(17)31)8-7-19-20-15-25(2,3)11-13-29(20,24(32)33)14-12-27(19,28)5/h7,18,20-23,30-31H,1,8-16H2,2-6H3,(H,32,33)/t18-,20-,21+,22+,23-,26-,27+,28+,29-/m0/s1
SMILES C=C1[C@@H]2CC[C@]3(C)[C@H](CC=C4[C@@H]5CC(C)(C)CC[C@@]5(CC[C@@]34C)C(=O)O)[C@@]2(C)C[C@H]([C@H]1O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   456.32 Volume:   494.609
?
Van der Waals volume.
Dense:   0.923 LogP:   3.099
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.988
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.764
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   28.0
TPSA:   77.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.44 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.987 Fsp3:   0.828
MCE-18:   103.245
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.905 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.009
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.387 Promiscuous compounds:   0.076

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.442 MDCK Permeability:   -5.006
Pgp-inhibitor:   0.0 Pgp-substrate:   0.002
PAMPA:   0.999
?
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):   0.002
20% Bioavailability (F20%):   0.781 30% Bioavailability (F30%):   0.248
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.726 MRP1:   0.64
Plasma Protein Binding (PPB):   92.332% Volume Distribution (VD):   -0.179
Fu: 8.328%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.964 BCRP inhibitor:   0.03
BSEP inhibitor:   0.368

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.007 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.073 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.27 CYP3A4-substrate:   0.974
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.581
HLM stability:   0.466
?
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):  3.335 Half-life (T1/2):  1.316

ADMET: Toxicity

hERG Blockers:  0.079 hERG Blockers (10um):  0.11
Human Hepatotoxicity (H-HT):  0.824 Drug-induced Liver Injury (DILI):  0.627
AMES Toxicity:  0.295 Rat Oral Acute Toxicity:  0.466
Maximum Recommended Daily Dose:  0.475 Skin Sensitization:  0.852
Carcinogencity:  0.874 Eye Corrosion:  0.002
Eye Irritation:  0.41 Respiratory Toxicity:  0.903
Drug-induced Neurotoxicity:  0.203 Ototoxicity:  0.708
Hematotoxicity:  0.615 Drug-induced Nephrotoxicity:  0.78
Genotoxicity:  0.633 RPMI-8226 Immunitoxicity:  0.062
A549 Cytotoxicity:  0.238 Hek293 Cytotoxicity:  0.33
BCF:   1.967
?
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:   4.479
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.775
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.283
?
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
NPO2717 Vatica cinerea Species Dipterocarpaceae Eukaryota n.a. n.a. n.a. PMID[12608862]
NPO6706 Arthrobotrys oligospora Species Orbiliaceae Eukaryota n.a. n.a. n.a. PMID[21568306]
NPO1425 Salvia palaestina Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[6677714]
NPO6706 Arthrobotrys oligospora Species Orbiliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1425 Salvia palaestina Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9258 Plantago cornuti Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4487 Fritillaria thunbergii Species Liliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2717 Vatica cinerea Species Dipterocarpaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6977 Triopha carpenteri Species n.a. Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9258 Plantago cornuti Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4487 Fritillaria thunbergii Species Liliaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO5784 Walsura chrysogyne Species Meliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1425 Salvia palaestina Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9258 Plantago cornuti Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6977 Triopha carpenteri Species n.a. Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9079 Tephrosia egregia Species Geometridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6706 Arthrobotrys oligospora Species Orbiliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2717 Vatica cinerea Species Dipterocarpaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4487 Fritillaria thunbergii Species Liliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11435 Tulipa sylvestris Species Liliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4873 Plectranthus sylvestris Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5442 Bryum weigelii Species Bryaceae 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

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 NPC123555 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
0.7538 Intermediate Similarity NPC87095
0.75 Intermediate Similarity NPC84319
0.75 Intermediate Similarity NPC52021
0.75 Intermediate Similarity NPC599947
0.7385 Intermediate Similarity NPC106112
0.7385 Intermediate Similarity NPC261935
0.7385 Intermediate Similarity NPC231063
0.7385 Intermediate Similarity NPC282395
0.7385 Intermediate Similarity NPC481360
0.7385 Intermediate Similarity NPC110308
0.7077 Intermediate Similarity NPC480946
0.7077 Intermediate Similarity NPC130577
0.7077 Intermediate Similarity NPC142415
0.7077 Intermediate Similarity NPC102683
0.6716 Remote Similarity NPC270768
0.6716 Remote Similarity NPC59263
0.6716 Remote Similarity NPC307282
0.6716 Remote Similarity NPC210106
0.6716 Remote Similarity NPC282616
0.6716 Remote Similarity NPC275809
0.6618 Remote Similarity NPC158141
0.6522 Remote Similarity NPC298554
0.6471 Remote Similarity NPC37038
0.6462 Remote Similarity NPC604575
0.6377 Remote Similarity NPC472149
0.6377 Remote Similarity NPC609452
0.6269 Remote Similarity NPC280654
0.6232 Remote Similarity NPC64872
0.6232 Remote Similarity NPC25906
0.6232 Remote Similarity NPC156981
0.6143 Remote Similarity NPC271614
0.6143 Remote Similarity NPC130278
0.6143 Remote Similarity NPC88116
0.6087 Remote Similarity NPC474806
0.6087 Remote Similarity NPC133579
0.6081 Remote Similarity NPC474727
0.6056 Remote Similarity NPC291028
0.6056 Remote Similarity NPC200752
0.6056 Remote Similarity NPC120840
0.6 Remote Similarity NPC182797
0.6 Remote Similarity NPC32118
0.6 Remote Similarity NPC52169
0.6 Remote Similarity NPC488562
0.5972 Remote Similarity NPC201657
0.5972 Remote Similarity NPC474963
0.5921 Remote Similarity NPC188833
0.5857 Remote Similarity NPC198664
0.5833 Remote Similarity NPC145667
0.5811 Remote Similarity NPC296164
0.5775 Remote Similarity NPC121798
0.5775 Remote Similarity NPC306541
0.5775 Remote Similarity NPC234346
0.575 Remote Similarity NPC204407
0.5733 Remote Similarity NPC96580
0.5694 Remote Similarity NPC481314
0.5679 Remote Similarity NPC283849
0.5679 Remote Similarity NPC28198
0.5679 Remote Similarity NPC476123
0.5679 Remote Similarity NPC606107
0.5676 Remote Similarity NPC481316
0.5616 Remote Similarity NPC228784
0.5616 Remote Similarity NPC324341
0.5616 Remote Similarity NPC601810
0.5542 Remote Similarity NPC286347
0.5526 Remote Similarity NPC481315
0.5513 Remote Similarity NPC481362
0.5479 Remote Similarity NPC173744
0.5479 Remote Similarity NPC204961
0.5479 Remote Similarity NPC73004
0.5479 Remote Similarity NPC71074
0.5479 Remote Similarity NPC111214
0.5479 Remote Similarity NPC37221
0.5479 Remote Similarity NPC605937
0.5476 Remote Similarity NPC100383
0.5467 Remote Similarity NPC25299
0.5467 Remote Similarity NPC481322
0.5467 Remote Similarity NPC130520
0.5405 Remote Similarity NPC259733
0.5405 Remote Similarity NPC158371
0.5405 Remote Similarity NPC207922
0.5405 Remote Similarity NPC32407
0.5405 Remote Similarity NPC263548
0.5405 Remote Similarity NPC606320
0.5402 Remote Similarity NPC171007
0.5402 Remote Similarity NPC190849
0.5395 Remote Similarity NPC20235
0.5395 Remote Similarity NPC299996
0.5395 Remote Similarity NPC324063
0.5349 Remote Similarity NPC294112
0.5349 Remote Similarity NPC284807
0.5333 Remote Similarity NPC35239
0.5333 Remote Similarity NPC247139
0.5287 Remote Similarity NPC266365
0.5287 Remote Similarity NPC191410
0.5281 Remote Similarity NPC198621
0.5281 Remote Similarity NPC216940
0.5263 Remote Similarity NPC471588
0.5227 Remote Similarity NPC475472
0.5222 Remote Similarity NPC605663
0.5205 Remote Similarity NPC187722
0.5205 Remote Similarity NPC477289
0.52 Remote Similarity NPC202728
0.52 Remote Similarity NPC158059
0.52 Remote Similarity NPC293564
0.5195 Remote Similarity NPC222047
0.519 Remote Similarity NPC601365
0.5172 Remote Similarity NPC473538
0.5169 Remote Similarity NPC270667
0.5169 Remote Similarity NPC164194
0.5135 Remote Similarity NPC51700
0.5135 Remote Similarity NPC88716
0.5135 Remote Similarity NPC68160
0.5135 Remote Similarity NPC606443
0.5132 Remote Similarity NPC91010
0.5128 Remote Similarity NPC479743
0.5068 Remote Similarity NPC43686
0.5056 Remote Similarity NPC475611
0.5055 Remote Similarity NPC136877
0.5055 Remote Similarity NPC12288

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC123555 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