P64826 AF NFT

Uncharacterized protein Mb1389c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihn5p3elai3zz7tzvq5xwbyegokorqyyehtzgxjagx5ulwfvzvvdm/metadata.json
IPFS of structure file: 
bafybeifab3cxkoppni6iq3msf3t5skybbltnf7b4uoymxo2fmehi6wf6ve/AF-P64826-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6e01080e01Da0b8798c9B0Ea0E75d75D9e49F5Df
First NFT owner address (bech32): 
genesis1dcqssrspmg9c0xxfkr4quawhtk0ynawls8tgtd
Current NFT ID #506505 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
506505
Accession (UniProt):
P64826
Name::
Uncharacterized protein Mb1389c
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM BOVIS (STRAIN ATCC BAA-935 / AF2122/97)

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 P64826 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P64826|Y1389_MYCBO Uncharacterized protein Mb1389c OS=Mycobacterium bovis (strain ATCC BAA-935 / AF2122/97) OX=233413 GN=BQ2027_MB1389C PE=4 SV=1 MCNDTATPQLEELVTTVANQLMTVDAATSAEVSQRVLAYLVEQLGVDVSFLRHNDRDRRATRLVAEWPPRLNIPDPDPLRLIYFADADPVFALCEHAKEPLVFRPEPATEDYQRLIEEARGVPVTSAAAVPLVSGEITTGLLGFIKFGDRKWHEAELNALMTIATLFAQVQARVAAEARLRYLADHDDLTGLHNRRALLQHLDQRLAPGQPGPVAALFLDLDRLKAINDYLGHAAGDQFIHVFAQRIGDALVGESLIARLGGDEFVLIPASPMSADAAQPLAERLRDQLKDHVAIGGEVLTRTVSIGVASGTPGQHTPSDLLRRADQAALAAKHAGGDSVAIFTADMSVSGELRNDIELHLRRGIESDALRLVYLPEVDLRTGDIVGTEALVRWQHPTRGLLAPGCFIPVAESINLAGELDRWVLRRACNEFSEWQSAGLGHDALLRINVSAGQLVTGGFVDFVADTIGQHGLDASSVCLEITENVVVQDLHTARATLARLKEVGVHIAIDDFGTGYSAISLLQTLPIDTLKIDKTFVRQLGTNTSDLVIVRGIMTLAEGFQLDVVAEGVETEAAARILLDQRCYRAQGFLFSRPVPGEAMRHMLSARRLPPTCIPATDPALS