P27446 Tyrosine-protein kinase Fyn MolNFT, Molecular NFT on GenesisL1

Tyrosine-protein kinase Fyn

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiamde6rmvxylqm42rulnpcai6b3zx4tfze3oh3xjb56q6ndp4tbaa/metadata.json

IPFS of structure file:

bafybeibsanmmumqccvcskc3qjmlyzzfek6zuu4glss5jdtpe6znb5uihza/AF-P27446-F1-model_v2.pdb

First NFT owner address (eip-55):

0xf4f3a26F6765d1790EF70B414daE91cC86a493C1

First NFT owner address (bech32):

genesis17ne6ymm8vhghjrhhpdq5mt53ejr2fy7pkxhum9

Current NFT ID #138682 owner (web3):

0x1ca26b2054BD7B7ddbC95b4914Ca7303754fF64e

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
138682
Accession (UniProt):
P27446
Name::
Tyrosine-protein kinase Fyn
Experimental Method:
Predicted structure
Sequence source:
Xiphophorus helleri

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT P27446 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P27446|FYN_XIPHE Tyrosine-protein kinase Fyn OS=Xiphophorus helleri OX=8084 GN=fyn PE=2 SV=3 MGCVQCKDKEATKLTDDRDASISQGAGYRYGADPTPQHYPSFGVTAIPNYNNFHAPVGQGVTVFGGVNTSSHTGTLRTRGGTGVTLFVALYDYEARTEDDLSFRKGERFQILNSTEGDWWDARSLTTGGSGYIPSNYVAPVDSIQAEDWYFGKLGRKDAERQLLSTGNPRGTYLIRESETTKGAFSLSIRDWDDEKGDHVKHYKIRKLDSGGYYITTRAQFDTLQQLVQHYSDRAAGLCCRLVVPCHKGMPRLADLSVKTKDVWEIPRESLQLIKRLGNGQFGEVWMGTWNGTTKVAVKTLKPGTMSPESFLEEAQIMKKLRHDKLVQLYAVVSEEPIYIVTEYMSKGSLLDFLKDGEGRALKLPNLVDMAAQVAAGMAYIERMNYIHRDLRSANILVGDNLVCKIADFGLARLIEDNEYTARQGAKFPIKWTAPEAALYGRFTIKSDVWSFGILLTELVTKGRVPYPGMNNREVLEQVERGYRMPCPQDCPASLHELMLQCWKKDPEERPTFEYLQAFLEDYFTATEPQYQPGDNL

P27446 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P27446 research and analysis (ICN3D with VR)

FASTA sequences

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