Q58460 AF NFT

Uncharacterized protein MJ1060

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifcu4ae3esxrfqoshz36bdfe4vdfu3i6af4lwcmir2gmm67w2onji/metadata.json
IPFS of structure file: 
bafybeihrsqc2n35lkqgb6tf4syzgudmpctnpbtlklbzwdg2hjckigwsl6q/AF-Q58460-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80DFF74473FD79110bd730F367842ad5E57E8738
First NFT owner address (bech32): 
genesis1sr0lw3rnl4u3zz7hxrek0pp26hjhapecauejq8
Current NFT ID #504016 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
504016
Accession (UniProt):
Q58460
Name::
Uncharacterized protein MJ1060
Experimental Method:
Predicted structure
Sequence source:
METHANOCALDOCOCCUS JANNASCHII (STRAIN ATCC 43067 / DSM 2661 / JAL-1 / JCM 10045 / NBRC 100440)

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 Q58460 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q58460|Y1060_METJA Uncharacterized protein MJ1060 OS=Methanocaldococcus jannaschii (strain ATCC 43067 / DSM 2661 / JAL-1 / JCM 10045 / NBRC 100440) OX=243232 GN=MJ1060 PE=4 SV=1 MIVEIYNFNFIRINEKEIKLFYNTYPPLKKLECYLDFIKELVSNSYKNNKFIKKDEFEHLVYNTFLYFLINWDNLYHTNQMPFYIWYNFKERVDDILKSEKDITFILNQKYVNIDYFGKYLKKFTNNIKSKNKNRIVDYIMENFQGNLIMLYFLVRKIIMNKNNNYRFDILFITDYDRYYGNNRFFGNHLFKNEEFKKLLKNFDINLTDKNYSILFTKYNFINLPKYIKDYYKKRQDYLFIEDILNLKLGFDILLNSSKIFKKVNLTNYNDEHEKFIHTMFNIFLKHKLPFVLWFYLSIKDYISKTNIKCIVGDSERNFMFYLCNIYRLWRKNIKTIAFSHEVINNNYIHLPISEKYSCIPDCKLVWNENIKKLLIDKYNFPKDKVIVFPDPRFLYWKKYPKKEKTILFVSQGYPEFYEEIFNTFRDKKLINTLIEHGYSFYFKPHPGEYLNDFSIRELEKLKNIKEIKIINGLNFVPEYTIGMSSTMIYELLNAGSKSFFLESNAKETFMMDDKEFKKYFRKNLKEIFFEILNKQL