Natural Product: NPC5785

Natural Product IDNPC5785
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FNBWVROKJBBUAG-MDVCOEFCSA-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:0001013] Steroidal glycosides

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 FNBWVROKJBBUAG-MDVCOEFCSA-N
Standard InCHI InChI=1S/C49H76O20/c1-21-42(67-36-17-31(53)43(22(2)62-36)68-37-18-33(64-24(4)51)44(23(3)63-37)69-46-41(57)40(56)39(55)34(20-50)66-46)30(52)16-35(61-21)65-26-9-12-47(5)25(15-26)7-8-29-28(47)10-13-48(6)38(27-11-14-60-45(27)58)32(54)19-49(29,48)59/h11,21-23,25-26,28-44,46,50,52-57,59H,7-10,12-20H2,1-6H3/t21-,22-,23-,25-,26+,28+,29-,30+,31+,32+,33+,34-,35+,36+,37+,38-,39-,40+,41-,42-,43-,44-,46+,47+,48-,49+/m1/s1
SMILES C[C@@H]1[C@H]([C@H](C[C@@H](O1)O[C@H]1CC[C@@]2(C)[C@H](CC[C@@H]3[C@@H]2CC[C@]2(C)[C@H](C4=CCOC4=O)[C@H](C[C@]32O)O)C1)O)O[C@H]1C[C@@H]([C@@H]([C@@H](C)O1)O[C@H]1C[C@@H]([C@@H]([C@@H](C)O1)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)OC(=O)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   984.49 Volume:   946.947
?
Van der Waals volume.
Dense:   1.04 LogP:   1.396
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.175
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.243
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   51.0
TPSA:   288.28
?
Topological Polar Surface Area.
H-Bond Acceptor:   20.0
H-Bond Donor:   8.0 Rings:   9.0
Heavy Atoms:   20.0

MedChem Properties

QED Drug-Likeness Score:   0.104 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.672 Fsp3:   0.918
MCE-18:   174.128
?
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:   0.769 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.365 Promiscuous compounds:   0.573

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.778 MDCK Permeability:   -5.456
Pgp-inhibitor:   0.001 Pgp-substrate:   0.974
PAMPA:   1.0
?
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):   0.015
20% Bioavailability (F20%):   0.168 30% Bioavailability (F30%):   0.865
50% Bioavailability (F50%):   0.975

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.965
Plasma Protein Binding (PPB):   46.588% Volume Distribution (VD):   -0.584
Fu: 37.972%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.995 BCRP inhibitor:   0.001
BSEP inhibitor:   0.332

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.991 CYP3A4-substrate:   0.742
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.415
HLM stability:   0.001
?
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):  0.688 Half-life (T1/2):  4.21

ADMET: Toxicity

hERG Blockers:  0.008 hERG Blockers (10um):  0.104
Human Hepatotoxicity (H-HT):  0.523 Drug-induced Liver Injury (DILI):  0.999
AMES Toxicity:  0.997 Rat Oral Acute Toxicity:  0.492
Maximum Recommended Daily Dose:  0.825 Skin Sensitization:  1.0
Carcinogencity:  0.432 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.153
Drug-induced Neurotoxicity:  0.019 Ototoxicity:  0.999
Hematotoxicity:  0.934 Drug-induced Nephrotoxicity:  0.978
Genotoxicity:  0.807 RPMI-8226 Immunitoxicity:  0.579
A549 Cytotoxicity:  0.992 Hek293 Cytotoxicity:  0.795
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:   3.244
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.89
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.862
?
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
NPO17774 Hemerocallis fulva Species Xanthorrhoeaceae Eukaryota Flowers n.a. n.a. DOI[10.1016/j.lwt.2014.11.023]
NPO12474 Cordyline fruticosa Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1551 Luffa aegyptiaca Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18930 Rubus coreanus Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27168 Atropa belladona Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13401 Phoenix canariensis Species Arecaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18180 Erysimum repandum Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1551 Luffa aegyptiaca Species Cucurbitaceae Eukaryota n.a. n.a. Database[FooDB]
NPO1551 Luffa aegyptiaca Species Cucurbitaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO1551 Luffa aegyptiaca Species Cucurbitaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO1551 Luffa aegyptiaca Species Cucurbitaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO17774 Hemerocallis fulva Species Xanthorrhoeaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO19015 Begonia glabra Species Begoniaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13401 Phoenix canariensis Species Arecaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17774 Hemerocallis fulva Species Xanthorrhoeaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19015 Begonia glabra Species Begoniaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1551 Luffa aegyptiaca Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13401 Phoenix canariensis Species Arecaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17774 Hemerocallis fulva Species Xanthorrhoeaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO19015 Begonia glabra Species Begoniaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO1551 Luffa aegyptiaca Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO17774 Hemerocallis fulva Species Xanthorrhoeaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO18930 Rubus coreanus Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO27168 Atropa belladona Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19093 Streptomyces aburaviensis Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO19175 Iguana iguana Species Iguanidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19441 Strychnos splendens Species Loganiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12474 Cordyline fruticosa Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13401 Phoenix canariensis Species Arecaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19015 Begonia glabra Species Begoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18180 Erysimum repandum Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17635 Aria arguta Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17774 Hemerocallis fulva Species Xanthorrhoeaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1551 Luffa aegyptiaca Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18930 Rubus coreanus Species Rosaceae 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 NPC5785 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
0.7778 Intermediate Similarity NPC74259
0.7184 Intermediate Similarity NPC117445
0.7184 Intermediate Similarity NPC308262
0.6699 Remote Similarity NPC475219
0.6698 Remote Similarity NPC474908
0.6604 Remote Similarity NPC120390
0.6535 Remote Similarity NPC231518
0.6535 Remote Similarity NPC488944
0.6429 Remote Similarity NPC193893
0.6262 Remote Similarity NPC475590
0.6168 Remote Similarity NPC479360
0.6168 Remote Similarity NPC479359
0.6154 Remote Similarity NPC208193
0.6147 Remote Similarity NPC475419
0.6071 Remote Similarity NPC474423
0.5872 Remote Similarity NPC488943
0.5872 Remote Similarity NPC488942
0.5849 Remote Similarity NPC486143
0.5849 Remote Similarity NPC125077
0.5849 Remote Similarity NPC486142
0.5849 Remote Similarity NPC486149
0.5741 Remote Similarity NPC329986
0.5741 Remote Similarity NPC140092
0.5741 Remote Similarity NPC486146
0.5728 Remote Similarity NPC72260
0.5714 Remote Similarity NPC236973
0.57 Remote Similarity NPC5311
0.566 Remote Similarity NPC479353
0.566 Remote Similarity NPC479354
0.5586 Remote Similarity NPC488938
0.5586 Remote Similarity NPC488937
0.5565 Remote Similarity NPC488945
0.5565 Remote Similarity NPC488946
0.5536 Remote Similarity NPC486144
0.5536 Remote Similarity NPC486145
0.5536 Remote Similarity NPC486147
0.5536 Remote Similarity NPC486148
0.5526 Remote Similarity NPC329675
0.5463 Remote Similarity NPC488941
0.5463 Remote Similarity NPC488940
0.5455 Remote Similarity NPC488939
0.5391 Remote Similarity NPC486134
0.5391 Remote Similarity NPC486141
0.5357 Remote Similarity NPC479357
0.5327 Remote Similarity NPC30483
0.5327 Remote Similarity NPC470897
0.5278 Remote Similarity NPC292467
0.5278 Remote Similarity NPC40749
0.5254 Remote Similarity NPC488947
0.5243 Remote Similarity NPC99080
0.5234 Remote Similarity NPC173555
0.5229 Remote Similarity NPC475556
0.5229 Remote Similarity NPC311706
0.5135 Remote Similarity NPC55532
0.5135 Remote Similarity NPC486135
0.5135 Remote Similarity NPC486137
0.513 Remote Similarity NPC479358
0.5089 Remote Similarity NPC232785
0.5089 Remote Similarity NPC486139
0.5049 Remote Similarity NPC99620
0.5049 Remote Similarity NPC471633
0.5044 Remote Similarity NPC146857

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC5785 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
0.6535 Remote Similarity NPD8033 Approved
0.5728 Remote Similarity NPD8294 Phase 4
0.5701 Remote Similarity NPD8377 Phase 4
0.5238 Remote Similarity NPD8380 Approved
0.5234 Remote Similarity NPD8296 Phase 4
0.5225 Remote Similarity NPD8378 Pre-clinical
0.5225 Remote Similarity NPD8379 Approved

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