P94283 AF NFT

Phenylalanine--tRNA ligase beta subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicc5iwzzpp4hpg46ym6lyg3hl5vqgagvpbatbvdukj7ze67qzaksm/metadata.json
IPFS of structure file: 
bafybeihjxfoqotsvtyfsz35qy35b6j2vod3yk7zdzibciskt3r6ufdwmre/AF-P94283-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf7FB783782B285Db3199EbD0D87C7bB413D7D508
First NFT owner address (bech32): 
genesis17lahsduzk2zakvvea0gdslrmksfa04gg6nspdr
Current NFT ID #446809 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
446809
Accession (UniProt):
P94283
Name::
Phenylalanine--tRNA ligase beta subunit
Experimental Method:
Predicted structure
Sequence source:
Borreliella burgdorferi (strain ATCC 35210 / DSM 4680 / CIP 102532 / B31)

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 P94283 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P94283|SYFB_BORBU Phenylalanine--tRNA ligase beta subunit OS=Borreliella burgdorferi (strain ATCC 35210 / DSM 4680 / CIP 102532 / B31) OX=224326 GN=pheT PE=3 SV=1 MPKLEIYKNLFLDKIGKNFTNLEISELLEPFKAEFDGFDESSGKIKIEFNDTNRPDLWSYLGLARQIKTYFFGEMPYYDFFSKKGDFKKFYGEILVDGKMSQIRPFIFGFLAKGLIINDKMLETLIQFQEKLCQNYGQKRRRIAMGMYNSNFIKFPISYIASSPNHKFVPFGMDYELSLLEINEKHPKGLEYSHIIKNFDKFPLLLDDNNNVVSYPPIINSNNIGSLKVGDTDLFVEVTGIDFEATLLALSIAACDFYDMGFEILPVKTVFREPFNLDFKELVCPYYFQEEVEFNVENINRLLGSNLTLERICLSLKKMGVNSYSKDFKNYIVPPFYRNDFLHEVDVIEDVMIGEGLSSFNPELPKAFAVGRLSPLEEFSRNVRNLMVGMGFQEMIYNYMGSKKDFIDRMNINDQNFLKVSNPMTENYEYIRASIIPNLLKSESVSSNFPYPHKIFEIGKVALKNLDTTEGTSTFTNLAFLMSGKEISFNEINSIVATLFYYLNIEINLIESKTTFYINGRGADIVIEGFNIGGFGEISPYVLNNFGIFIPCSVFEVNINKLMSRS