Natural Product: NPC16377

Natural Product IDNPC16377
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
9-Hydroxy-1-(1-Hydroxymethyl-Vinyl)-5A,5B,8,8,11A-Pentamethyl-Icosahydro-Cyclopenta[A]Chrysene-3A-Carboxylic Acid
IUPAC Name (1R,3aS,5aR,5bR,7aR,9S,11aR,11bR,13aR,13bS)-9-hydroxy-1-(3-hydroxyprop-1-en-2-yl)-5a,5b,8,8,11a-pentamethyl-1,2,3,4,5,6,7,7a,9,10,11,11b,12,13,13a,13b-hexadecahydrocyclopenta[a]chrysene-3a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL77559
PubChem CID 11590966
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 NILZYBMKKVCAHD-FZFNOLFKSA-N
Standard InCHI InChI=1S/C30H48O4/c1-18(17-31)19-9-14-30(25(33)34)16-15-28(5)20(24(19)30)7-8-22-27(4)12-11-23(32)26(2,3)21(27)10-13-29(22,28)6/h19-24,31-32H,1,7-17H2,2-6H3,(H,33,34)/t19-,20+,21-,22+,23-,24+,27-,28+,29+,30-/m0/s1
SMILES C=C(CO)[C@@H]1CC[C@@]2(CC[C@]3(C)[C@H](CC[C@@H]4[C@@]5(C)CC[C@@H](C(C)(C)[C@@H]5CC[C@@]34C)O)[C@@H]12)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   472.36 Volume:   514.542
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Van der Waals volume.
Dense:   0.918 LogP:   3.386
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.101
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.592
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   27.0
TPSA:   77.76
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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:   0.436 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.837 Fsp3:   0.9
MCE-18:   104.0
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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:   0.678 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
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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:   0.328 Promiscuous compounds:   0.111

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.421 MDCK Permeability:   -5.075
Pgp-inhibitor:   0.0 Pgp-substrate:   0.348
PAMPA:   0.998
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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):   0.004
20% Bioavailability (F20%):   0.583 30% Bioavailability (F30%):   0.564
50% Bioavailability (F50%):   0.99

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.558 MRP1:   0.915
Plasma Protein Binding (PPB):   94.743% Volume Distribution (VD):   -0.398
Fu: 6.435%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.974
OATP1B3 inhibitor:   0.898 BCRP inhibitor:   0.266
BSEP inhibitor:   0.019

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.011 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.007
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.003
HLM stability:   0.0
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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):  5.344 Half-life (T1/2):  1.043

ADMET: Toxicity

hERG Blockers:  0.052 hERG Blockers (10um):  0.056
Human Hepatotoxicity (H-HT):  0.733 Drug-induced Liver Injury (DILI):  0.508
AMES Toxicity:  0.312 Rat Oral Acute Toxicity:  0.168
Maximum Recommended Daily Dose:  0.41 Skin Sensitization:  0.973
Carcinogencity:  0.946 Eye Corrosion:  0.066
Eye Irritation:  0.808 Respiratory Toxicity:  0.919
Drug-induced Neurotoxicity:  0.027 Ototoxicity:  0.653
Hematotoxicity:  0.446 Drug-induced Nephrotoxicity:  0.74
Genotoxicity:  0.482 RPMI-8226 Immunitoxicity:  0.019
A549 Cytotoxicity:  0.067 Hek293 Cytotoxicity:  0.128
BCF:   0.911
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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:   3.537
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.178
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.521
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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
NPO464 Oedera genistifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28085 Schima wallichi Species Theaceae 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
NPT393 Cell line HCT-116 Homo sapiens GI50 > 9800.0 nM PMID[11527742]
NPT387 Cell line M14 Homo sapiens GI50 > 16200.0 nM PMID[11527742]
NPT147 Cell line SK-MEL-2 Homo sapiens GI50 > 9300.0 nM PMID[11527742]
NPT403 Cell line UACC-257 Homo sapiens GI50 > 50000.0 nM PMID[11527742]
NPT306 Cell line PC-3 Homo sapiens EC50 > 8400000.0 nM PMID[11527742]
NPT147 Cell line SK-MEL-2 Homo sapiens EC50 > 9000000.0 nM PMID[11527742]

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 NPC16377 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
0.8772 High Similarity NPC264317
0.8772 High Similarity NPC294438
0.7742 Intermediate Similarity NPC151191
0.7705 Intermediate Similarity NPC488164
0.7705 Intermediate Similarity NPC264005
0.7258 Intermediate Similarity NPC30583
0.7231 Intermediate Similarity NPC488165
0.7077 Intermediate Similarity NPC601275
0.6923 Remote Similarity NPC2783
0.6875 Remote Similarity NPC476071
0.6667 Remote Similarity NPC18064
0.6667 Remote Similarity NPC472608
0.6615 Remote Similarity NPC488506
0.6615 Remote Similarity NPC220498
0.6515 Remote Similarity NPC201655
0.6364 Remote Similarity NPC213832
0.6212 Remote Similarity NPC80590
0.6094 Remote Similarity NPC68828
0.6087 Remote Similarity NPC269360
0.6032 Remote Similarity NPC248830
0.6032 Remote Similarity NPC212241
0.5972 Remote Similarity NPC603461
0.5882 Remote Similarity NPC24772
0.5882 Remote Similarity NPC211162
0.5882 Remote Similarity NPC183374
0.5882 Remote Similarity NPC291373
0.5882 Remote Similarity NPC30322
0.5857 Remote Similarity NPC475061
0.5857 Remote Similarity NPC488213
0.5846 Remote Similarity NPC119355
0.5821 Remote Similarity NPC192744
0.5797 Remote Similarity NPC271974
0.5797 Remote Similarity NPC195395
0.5797 Remote Similarity NPC247312
0.5775 Remote Similarity NPC486704
0.5714 Remote Similarity NPC4309
0.5694 Remote Similarity NPC169933
0.5652 Remote Similarity NPC474686
0.5606 Remote Similarity NPC246445
0.5571 Remote Similarity NPC277399
0.557 Remote Similarity NPC486709
0.5556 Remote Similarity NPC160506
0.5541 Remote Similarity NPC481311
0.5479 Remote Similarity NPC478841
0.5479 Remote Similarity NPC488166
0.5479 Remote Similarity NPC600004
0.5479 Remote Similarity NPC608379
0.5429 Remote Similarity NPC181225
0.5366 Remote Similarity NPC486699
0.5352 Remote Similarity NPC474512
0.5312 Remote Similarity NPC192638
0.5312 Remote Similarity NPC25511
0.5312 Remote Similarity NPC600137
0.5303 Remote Similarity NPC231256
0.5303 Remote Similarity NPC178383
0.5294 Remote Similarity NPC298168
0.5294 Remote Similarity NPC143133
0.5278 Remote Similarity NPC274330
0.5238 Remote Similarity NPC290349
0.5224 Remote Similarity NPC93662
0.5205 Remote Similarity NPC474719
0.5147 Remote Similarity NPC269396
0.5143 Remote Similarity NPC119743
0.5135 Remote Similarity NPC252714
0.5135 Remote Similarity NPC611139
0.5125 Remote Similarity NPC605397
0.5114 Remote Similarity NPC51947
0.5114 Remote Similarity NPC486700
0.5114 Remote Similarity NPC275312
0.5077 Remote Similarity NPC212733
0.5068 Remote Similarity NPC57954
0.5068 Remote Similarity NPC198664
0.5067 Remote Similarity NPC293564
0.5067 Remote Similarity NPC601176

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC16377 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
0.8772 High Similarity NPD7520 Phase 1
0.5556 Remote Similarity NPD8035 Phase 2
0.5233 Remote Similarity NPD8034 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