Natural Product: NPC64377

Natural Product IDNPC64377
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
UPGTYLFCVNHBTN-KKZXZXIDSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0003566] Cholestane steroids
          • [CHEMONTID:0001469] Cholesterols 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 UPGTYLFCVNHBTN-KKZXZXIDSA-N
Standard InCHI InChI=1S/C27H44O/c1-18(2)7-6-8-19(3)23-11-12-24-22-10-9-20-17-21(28)13-15-26(20,4)25(22)14-16-27(23,24)5/h6,8-9,18-19,21-25,28H,7,10-17H2,1-5H3/b8-6+/t19-,21-,22+,23-,24+,25-,26-,27+/m0/s1
SMILES CC(C)C/C=C/[C@H](C)[C@@H]1CC[C@@H]2[C@H]3CC=C4C[C@H](CC[C@]4(C)[C@H]3CC[C@]12C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   384.34 Volume:   444.84
?
Van der Waals volume.
Dense:   0.864 LogP:   6.721
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.93
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.487
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   21.0
TPSA:   20.23
?
Topological Polar Surface Area.
H-Bond Acceptor:   1.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   1.0

MedChem Properties

QED Drug-Likeness Score:   0.51 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.426 Fsp3:   0.852
MCE-18:   67.6
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.965 Fluc inhibitor:   0.01
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
?
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:   0.718 Promiscuous compounds:   0.009

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.008 MDCK Permeability:   -4.758
Pgp-inhibitor:   0.999 Pgp-substrate:   0.002
PAMPA:   0.005
?
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):   0.0
20% Bioavailability (F20%):   0.234 30% Bioavailability (F30%):   0.41
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.026 MRP1:   0.797
Plasma Protein Binding (PPB):   98.403% Volume Distribution (VD):   -0.189
Fu: 1.407%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.238
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.017
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.073
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.046
CYP2D6-inhibitor:   0.03 CYP2D6-substrate:   0.181
CYP3A4-inhibitor:   0.254 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.965
?
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):  13.425 Half-life (T1/2):  0.628

ADMET: Toxicity

hERG Blockers:  0.118 hERG Blockers (10um):  0.453
Human Hepatotoxicity (H-HT):  0.605 Drug-induced Liver Injury (DILI):  0.181
AMES Toxicity:  0.099 Rat Oral Acute Toxicity:  0.222
Maximum Recommended Daily Dose:  0.666 Skin Sensitization:  0.917
Carcinogencity:  0.785 Eye Corrosion:  0.167
Eye Irritation:  0.78 Respiratory Toxicity:  0.735
Drug-induced Neurotoxicity:  0.146 Ototoxicity:  0.599
Hematotoxicity:  0.292 Drug-induced Nephrotoxicity:  0.468
Genotoxicity:  0.011 RPMI-8226 Immunitoxicity:  0.082
A549 Cytotoxicity:  0.423 Hek293 Cytotoxicity:  0.569
BCF:   2.65
?
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:   4.134
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.946
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.75
?
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
NPO17673 Dysidea herbacea Species n.a. n.a. n.a. n.a. n.a. PMID[10075800]
NPO17673 Dysidea herbacea Species n.a. n.a. n.a. n.a. n.a. PMID[10650102]
NPO17673 Dysidea herbacea Species n.a. n.a. n.a. Mandapam Coast, Tamilnadu, India n.a. PMID[22704923]
NPO17673 Dysidea herbacea Species n.a. n.a. n.a. n.a. n.a. PMID[9463111]
NPO17210 Dorstenia barnimiana Species Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16684 Alibertia macrophylla Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13746 Achillea leptophylla Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17673 Dysidea herbacea Species n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO13985 Oxybasis urbica Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9044 Rubia ustulata Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17991 Sedum forsterianum Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16323 Umbilicaria proboscidea Species Umbilicariaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1793 Uvaria mocoli Species Annonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7857 Verbascum georgicum Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13321 Viguiera cordifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16204 Zieria chevalieri Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13746 Achillea leptophylla Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16323 Umbilicaria proboscidea Species Umbilicariaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13746 Achillea leptophylla Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO16684 Alibertia macrophylla Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16323 Umbilicaria proboscidea Species Umbilicariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17673 Dysidea herbacea Species n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13746 Achillea leptophylla Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13321 Viguiera cordifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1793 Uvaria mocoli Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17210 Dorstenia barnimiana Species Moraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9044 Rubia ustulata Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13985 Oxybasis urbica Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16204 Zieria chevalieri Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17991 Sedum forsterianum Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7857 Verbascum georgicum Species Scrophulariaceae 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 NPC64377 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
0.8 Intermediate Similarity NPC154330
0.7843 Intermediate Similarity NPC113733
0.76 Intermediate Similarity NPC162742
0.76 Intermediate Similarity NPC304309
0.76 Intermediate Similarity NPC470228
0.7451 Intermediate Similarity NPC600590
0.7407 Intermediate Similarity NPC33913
0.7308 Intermediate Similarity NPC136188
0.7308 Intermediate Similarity NPC28657
0.7115 Intermediate Similarity NPC22105
0.7115 Intermediate Similarity NPC34019
0.7115 Intermediate Similarity NPC107059
0.7037 Intermediate Similarity NPC264245
0.6981 Remote Similarity NPC474216
0.6909 Remote Similarity NPC328714
0.6852 Remote Similarity NPC230301
0.6852 Remote Similarity NPC198968
0.6852 Remote Similarity NPC285893
0.6852 Remote Similarity NPC134847
0.6792 Remote Similarity NPC221758
0.6786 Remote Similarity NPC318495
0.6727 Remote Similarity NPC241290
0.6727 Remote Similarity NPC164840
0.6727 Remote Similarity NPC484739
0.6727 Remote Similarity NPC209944
0.6727 Remote Similarity NPC155986
0.6607 Remote Similarity NPC321381
0.6552 Remote Similarity NPC243985
0.6552 Remote Similarity NPC280710
0.6552 Remote Similarity NPC240650
0.6491 Remote Similarity NPC472265
0.6491 Remote Similarity NPC59453
0.6441 Remote Similarity NPC47761
0.6429 Remote Similarity NPC51014
0.6379 Remote Similarity NPC603646
0.6271 Remote Similarity NPC473943
0.6271 Remote Similarity NPC155011
0.6167 Remote Similarity NPC474164
0.6167 Remote Similarity NPC488870
0.6154 Remote Similarity NPC96319
0.6129 Remote Similarity NPC601043
0.6129 Remote Similarity NPC605412
0.6071 Remote Similarity NPC328313
0.5932 Remote Similarity NPC50964
0.5833 Remote Similarity NPC477522
0.569 Remote Similarity NPC76879
0.5667 Remote Similarity NPC1272
0.5667 Remote Similarity NPC470614
0.5614 Remote Similarity NPC151519
0.5517 Remote Similarity NPC20688
0.5469 Remote Similarity NPC474349
0.5469 Remote Similarity NPC474189
0.5333 Remote Similarity NPC234193
0.5323 Remote Similarity NPC58063
0.5303 Remote Similarity NPC5985
0.5246 Remote Similarity NPC87604
0.5211 Remote Similarity NPC3715
0.5152 Remote Similarity NPC176012
0.5072 Remote Similarity NPC235126
0.5072 Remote Similarity NPC309493
0.5072 Remote Similarity NPC242419

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC64377 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
0.7308 Intermediate Similarity NPD6942 Phase 4
0.6852 Remote Similarity NPD7339 Approved
0.6792 Remote Similarity NPD4786 Phase 1
0.6154 Remote Similarity NPD3701 Pre-clinical
0.5614 Remote Similarity NPD3667 Phase 4

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