P55377 AF NFT

Uncharacterized protein y4bJ

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihapzwjl6iybt2uemm47q4duqnl3bsjs2ej6cwu7osmav56hnvvd4/metadata.json
IPFS of structure file: 
bafybeie2j7gt7jjhmjzr6ujfhzsre666iivhgnn3ms2oisd6oscxx7yq5i/AF-P55377-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #518503 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
518503
Accession (UniProt):
P55377
Name::
Uncharacterized protein y4bJ
Experimental Method:
Predicted structure
Sequence source:
Sinorhizobium fredii (strain NBRC 101917 / NGR234)

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 P55377 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P55377|Y4BJ_SINFN Uncharacterized protein y4bJ OS=Sinorhizobium fredii (strain NBRC 101917 / NGR234) OX=394 GN=NGR_a00200 PE=3 SV=1 MLSSRLGLFNMFRLLAAILVFTGLASAVNADLLQTGGSRWVVLASTRDLDNAIGIANLYQHRFDDVRVAEASNGWLAVIAGPVSIARGAKAAREELWSAGGFPPDLFLSNGQSLRRTVWEPPKGRPIPTWSYKGGQPLVFSAGGLEIEVSHLAEGNTRYPSITLRRAGRLLIKEVLKGSESFGDNMNAEVRLVWLDRAVAEPQIIFSSHWNGAHCCTVSKILTKVGNGWTSIEGATLDGGGYRLQDIDGDGSVELLSVDNSFLYTFAPYVFSSAPLVISKLDGDRLIDMRWNSAFRRYYRRELFGWEYRAKLEPEIWRKNGFLSAWLALKSVLGESDQAWTVVLENYDRSSEWPLTVCDAPLKEGVCPEEATREVSFPEALRDHLARNGYLGPQVAKIEETSKPTEQPSPADSTSTPAAPEKGAASSAGTGFFISKQGHLVTNHHVIKGCSAIEVRRPGQLRLPANIVAVDPTNDLALLRVESDTGAYASVRVETRLGESVAVFGYPLSHVLASGGNFTLGNVTALAGLGNDTRFIQISAPVQPGNSGGPLIDSYGNVIGVVTSKLDALAALAVTGDIPQNVNFALRGASLYAFLLSYGISPVAGSNTQKLDAPELAERASSFSVAVTCE