Target Information
Target General Information | Top | |||||
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Target ID |
T02506
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Target Name |
HUMAN estrogen receptor (ESR1)
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Synonyms |
Nuclear receptor subfamily 3 group A member 1; NR3A1; Estradiol receptor; ESR; ER-alpha; ER
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Gene Name |
ESR1
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Disease | [+] 1 Target-related Diseases | + | ||||
1 | COVID-19 [ICD-11: 1D6Y] | |||||
Function |
Nuclear hormone receptor. The steroid hormones and their receptors are involved in the regulation of eukaryotic gene expression and affect cellular proliferation and differentiation in target tissues. Ligand-dependent nuclear transactivation involves either direct homodimer binding to a palindromic estrogen response element (ERE) sequence or association with other DNA-binding transcription factors, such as AP-1/c-Jun, c-Fos, ATF-2, Sp1 and Sp3, to mediate ERE-independent signaling. Ligand binding induces a conformational change allowing subsequent or combinatorial association with multiprotein coactivator complexes through LXXLL motifs of their respective components. Mutual transrepression occurs between the estrogen receptor (ER) and NF-kappa-B in a cell-type specific manner. Decreases NF-kappa-B DNA-binding activity and inhibits NF-kappa-B-mediated transcription from the IL6 promoter and displace RELA/p65 and associated coregulators from the promoter. Recruited to the NF-kappa-B response element of the CCL2 and IL8 promoters and can displace CREBBP. Present with NF-kappa-B components RELA/p65 and NFKB1/p50 on ERE sequences. Can also act synergistically with NF-kappa-B to activate transcription involving respective recruitment adjacent response elements; the function involves CREBBP. Can activate the transcriptional activity of TFF1. Also mediates membrane-initiated estrogen signaling involving various kinase cascades. Isoform 3 is involved in activation of NOS3 and endothelial nitric oxide production. Isoforms lacking one or several functional domains are thought to modulate transcriptional activity by competitive ligand or DNA binding and/or heterodimerization with the full-length receptor. Essential for MTA1-mediated transcriptional regulation of BRCA1 and BCAS3. Isoform 3 can bind to ERE and inhibit isoform 1.
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BioChemical Class |
Nuclear hormone receptor
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UniProt ID | ||||||
Sequence |
MTMTLHTKASGMALLHQIQGNELEPLNRPQLKIPLERPLGEVYLDSSKPAVYNYPEGAAY
EFNAAAAANAQVYGQTGLPYGPGSEAAAFGSNGLGGFPPLNSVSPSPLMLLHPPPQLSPF LQPHGQQVPYYLENEPSGYTVREAGPPAFYRPNSDNRRQGGRERLASTNDKGSMAMESAK ETRYCAVCNDYASGYHYGVWSCEGCKAFFKRSIQGHNDYMCPATNQCTIDKNRRKSCQAC RLRKCYEVGMMKGGIRKDRRGGRMLKHKRQRDDGEGRGEVGSAGDMRAANLWPSPLMIKR SKKNSLALSLTADQMVSALLDAEPPILYSEYDPTRPFSEASMMGLLTNLADRELVHMINW AKRVPGFVDLTLHDQVHLLECAWLEILMIGLVWRSMEHPGKLLFAPNLLLDRNQGKCVEG MVEIFDMLLATSSRFRMMNLQGEEFVCLKSIILLNSGVYTFLSSTLKSLEEKDHIHRVLD KITDTLIHLMAKAGLTLQQQHQRLAQLLLILSHIRHMSNKGMEHLYSMKCKNVVPLYDLL LEMLDAHRLHAPTSRGGASVEETDQSHLATAGSTSSHSLQKYYITGEAEGFPATV Click to Show/Hide
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3D Structure | Click to Show 3D Structure of This Target | AlphaFold |
Cell-based Target Expression Variations | Top | |||||
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Cell-based Target Expression Variations |
Drug Binding Sites of Target | Top | |||||
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Ligand Name: Clomifene | Ligand Info | |||||
Structure Description | Estrogen Receptor Alpha Ligand Binding Domain in Complex with the Selective Estrogen Receptor Modulator Clomiphene | PDB:6VPF | ||||
Method | X-ray diffraction | Resolution | 1.60 Å | Mutation | No | [2] |
PDB Sequence |
LALSLTADQM
315 VSALLDAEPP325 ILYSEYDPTR335 PFSEASMMGL345 LTNLADRELV355 HMINWAKRVP 365 GFVDLTLHDQ375 VHLLESAWLE385 ILMIGLVWRS395 MEHPGKLLFA405 PNLLLDRNQG 415 KSVEGMVEIF425 DMLLATSSRF435 RMMNLQGEEF445 VCLKSIILLN455 SGVYTFLSST 465 LKSLEEKDHI475 HRVLDKITDT485 LIHLMAKAGL495 TLQQQHQRLA505 QLLLILSHIR 515 HMSNKGMEHL525 YSMKKNVVPS536 YDLLLEMLDA546 HRL
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MET343
3.552
LEU346
3.642
THR347
3.526
LEU349
3.810
ALA350
3.378
ASP351
3.002
GLU353
3.840
LEU354
3.981
TRP383
3.286
LEU384
3.890
LEU387
3.716
MET388
4.371
LEU391
4.017
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Ligand Name: Bazedoxifene | Ligand Info | |||||
Structure Description | Bazedoxifene in Complex with Y537S Estrogen Receptor Alpha Ligand Binding Domain | PDB:6PSJ | ||||
Method | X-ray diffraction | Resolution | 1.80 Å | Mutation | Yes | [2] |
PDB Sequence |
ALSLTADQMV
316 SALLDAEPPI326 LYSESMMGLL346 TNLADRELVH356 MINWAKRVPG366 FVDLTLHDQV 376 HLLESAWLEI386 LMIGLVWRSM396 EHPGKLLFAP406 NLLLDRNQGK416 SVEGMVEIFD 426 MLLATSSRFR436 MMNLQGEEFV446 CLKSIILLNS456 GVYTFLSSTL466 KSLEEKDHIH 476 RVLDKITDTL486 IHLMAKAGLT496 LQQQHQRLAQ506 LLLILSHIRH516 MSNKGMEHLY 526 SMKNVVPLSD538 LLLEMLDAHR548 LH
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MET343
4.028
LEU346
3.626
THR347
3.773
LEU349
3.774
ALA350
3.815
ASP351
2.637
GLU353
2.295
LEU354
3.803
TRP383
3.693
LEU384
4.113
LEU387
3.815
MET388
3.756
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Click to View More Binding Site Information of This Target and Ligand Pair | ||||||
Click to View More Binding Site Information of This Target with Different Ligands |
Different Human System Profiles of Target | Top |
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Human Similarity Proteins
of target is determined by comparing the sequence similarity of all human proteins with the target based on BLAST. The similarity proteins for a target are defined as the proteins with E-value < 0.005 and outside the protein families of the target.
A target that has fewer human similarity proteins outside its family is commonly regarded to possess a greater capacity to avoid undesired interactions and thus increase the possibility of finding successful drugs
(Brief Bioinform, 21: 649-662, 2020).
Human Tissue Distribution
of target is determined from a proteomics study that quantified more than 12,000 genes across 32 normal human tissues. Tissue Specificity (TS) score was used to define the enrichment of target across tissues.
The distribution of targets among different tissues or organs need to be taken into consideration when assessing the target druggability, as it is generally accepted that the wider the target distribution, the greater the concern over potential adverse effects
(Nat Rev Drug Discov, 20: 64-81, 2021).
Human Pathway Affiliation
of target is determined by the life-essential pathways provided on KEGG database. The target-affiliated pathways were defined based on the following two criteria (a) the pathways of the studied target should be life-essential for both healthy individuals and patients, and (b) the studied target should occupy an upstream position in the pathways and therefore had the ability to regulate biological function.
Targets involved in a fewer pathways have greater likelihood to be successfully developed, while those associated with more human pathways increase the chance of undesirable interferences with other human processes
(Pharmacol Rev, 58: 259-279, 2006).
Biological Network Descriptors
of target is determined based on a human protein-protein interactions (PPI) network consisting of 9,309 proteins and 52,713 PPIs, which were with a high confidence score of ≥ 0.95 collected from STRING database.
The network properties of targets based on protein-protein interactions (PPIs) have been widely adopted for the assessment of target’s druggability. Proteins with high node degree tend to have a high impact on network function through multiple interactions, while proteins with high betweenness centrality are regarded to be central for communication in interaction networks and regulate the flow of signaling information
(Front Pharmacol, 9, 1245, 2018;
Curr Opin Struct Biol. 44:134-142, 2017).
Human Similarity Proteins
Human Tissue Distribution
Human Pathway Affiliation
Biological Network Descriptors
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There is no similarity protein (E value < 0.005) for this target
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Note:
If a protein has TS (tissue specficity) scores at least in one tissue >= 2.5, this protein is called tissue-enriched (including tissue-enriched-but-not-specific and tissue-specific). In the plots, the vertical lines are at thresholds 2.5 and 4.
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KEGG Pathway | Pathway ID | Affiliated Target | Pathway Map |
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Estrogen signaling pathway | hsa04915 | Affiliated Target |
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Class: Organismal Systems => Endocrine system | Pathway Hierarchy | ||
Prolactin signaling pathway | hsa04917 | Affiliated Target |
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Class: Organismal Systems => Endocrine system | Pathway Hierarchy | ||
Thyroid hormone signaling pathway | hsa04919 | Affiliated Target |
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Class: Organismal Systems => Endocrine system | Pathway Hierarchy | ||
Endocrine and other factor-regulated calcium reabsorption | hsa04961 | Affiliated Target |
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Class: Organismal Systems => Excretory system | Pathway Hierarchy |
Degree | 102 | Degree centrality | 1.10E-02 | Betweenness centrality | 1.69E-02 |
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Closeness centrality | 2.83E-01 | Radiality | 1.48E+01 | Clustering coefficient | 8.13E-02 |
Neighborhood connectivity | 4.43E+01 | Topological coefficient | 2.50E-02 | Eccentricity | 11 |
Download | Click to Download the Full PPI Network of This Target | ||||
Chemical Structure based Activity Landscape of Target | Top |
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Target Poor or Non Binders | Top | |||||
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Target Poor or Non Binders |
References | Top | |||||
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REF 1 | Prevention and therapy of COVID-19 via exogenous estrogen treatment for both male and female patients. J Pharm Pharm Sci. 2020;23(1):75-85. | |||||
REF 2 | Stereospecific lasofoxifene derivatives reveal the interplay between estrogen receptor alpha stability and antagonistic activity in ESR1 mutant breast cancer cells. Elife. 2022 May 16;11:e72512. |
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