A8QCE7 AF NFT

Translation factor GUF1 homolog, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiedzn3iiw3rpqv26wfqftqx6wcy4pvaitbyfej5wxw2sr62kdpsde/metadata.json
IPFS of structure file: 
bafybeibvtzizvhgnypgqqlmgxnvmle3u4l2aktymni3yohncptk2yparke/AF-A8QCE7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x126FAC61adfcCB9Aa6cE867C9C038cCe03399896
First NFT owner address (bech32): 
genesis1zfh6ccddln9e4fkwse7fcquvecpnnxyke2zldt
Current NFT ID #162098 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
162098
Accession (UniProt):
A8QCE7
Name::
Translation factor GUF1 homolog, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
BRUGIA MALAYI

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 A8QCE7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A8QCE7|GUF1_BRUMA Translation factor GUF1 homolog, mitochondrial OS=Brugia malayi OX=6279 GN=Bm1_49530 PE=3 SV=1 MAVTRAAAPMVGNCSSAMLIIGRRYFSSPFTEKLRKTNRKKVIDLAAYPPKKIRNFGIVAHVDHGKSTLADRFLEMTGAVEKSSHASQMLDKLQVERERGITVKAQSCTMFHKDCMLNLIDTPGHADFSFEVARSLTATNGILLLVAANQGVQAQTVANFWLAFEAGLTIIPVINKVDLKSANVPRVVSQMENLFDFLPSEILYISAKNGTGIGDVLDAVVERLPPPKVEAHSPLRAHVFDSWYETHHGPVVCVAVHDGVISKGQRIRTYHSDCEYEVLVVGIMIPNMYEVKCLYAGQVGYLLTTMKSVQDAVIGETLYDVSDERNMVQPMPLITPTPPCIYASIYPTNINEYNALRVALYKLALNDSSVQIQHSNSTALGNGFKIGFSGHLHMEEYDANITITAPSVEYRAVIKDNQTILKKRYNGQRVIRLLDASDFPVCPSDIDHFLEPMIKLTLLLSTAYCEHVERLCVDARGEQVENNGLDTDCIMQQWRLPFAEVCMDFFDRLKRITSGYVTYNYQWDGFQKATIELLMIHINDLPIYEFSEIMPSNQIKARAKEIVKKLKEEIPRQQYEVRIKATLGQSKKALVQTVIAPVKKDFTGRLKGNFGGSGWERFCKKLSHQKKGKERMKQLGQVQIPKEAFINVLRR