A5IB64 AF NFT

UPF0234 protein LPC_0632

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifg6znmtm3tbopxwdmpuoaph4cgs6jfqhyqiy7gljr57kfcokffdq/metadata.json
IPFS of structure file: 
bafybeifcaylwnhtlzr2couarz2ifkt3lh23m6sa57lhnywrfuo3fh37v4y/AF-A5IB64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xedc07A86dE46108e804E3E81e5b0cAF1692Cf5cF
First NFT owner address (bech32): 
genesis1ahq84pk7gcggaqzw86q7tvx2795jeaw0d29yey
Current NFT ID #520356 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
520356
Accession (UniProt):
A5IB64
Name::
UPF0234 protein LPC_0632
Experimental Method:
Predicted structure
Sequence source:
Legionella pneumophila (strain Corby)

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 A5IB64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5IB64|Y632_LEGPC UPF0234 protein LPC_0632 OS=Legionella pneumophila (strain Corby) OX=400673 GN=LPC_0632 PE=3 SV=1 MPSFDIVSKMNEVDLRNAVDNAVREVSTRFDFRGVEATIELKDLTVTLRSESDFQVRQLEDLFRNHCSKRNLSTSGVDIEDEPVHSGKFYTLTMTFKQGIDQPTAKEIVKYIKETKAKVQTSIQGDKVRVTGKKRDDLQETIALLKKSNIELPLQYENFRD