Q75B10 AF NFT

Leucine aminopeptidase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaw33astdzg2443tshd2kd67g4kgxz55xafcf66vpfbjs62o4wnf4/metadata.json
IPFS of structure file: 
bafybeiej7c3ypyb5jknwq27madionw4hzbyzkpwi2vbwmi7hqh6nfwtzru/AF-Q75B10-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4646f197d9d8E25cddf613E3d4a2609797139977
First NFT owner address (bech32): 
genesis1ger0r97emr39eh0kz03afgnqj7t38xthdtdltp
Current NFT ID #215458 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
215458
Accession (UniProt):
Q75B10
Name::
Leucine aminopeptidase 2
Experimental Method:
Predicted structure
Sequence source:
ASHBYA GOSSYPII (STRAIN ATCC 10895 / CBS 109.51 / FGSC 9923 / NRRL Y-1056)

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 Q75B10 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q75B10|LKHA4_ASHGO Leucine aminopeptidase 2 OS=Ashbya gossypii (strain ATCC 10895 / CBS 109.51 / FGSC 9923 / NRRL Y-1056) OX=284811 GN=ADL233W PE=3 SV=2 MKLPAVLEERRAAATDRSTLSNYEDFAVRHTNLELEVAFDERQIRAEVCYDLEQTGKGVAEVHLDTSYVQLECILVDGKRVPWELRERQEPLGSQLVITPEGGLPARFQLTCRSVTTARSTAVQWLGGAQTAGKPYVYTQLESVHARSLVPCFDTPACKSPFTVRVRSPLRAVVAGQEQPGSGKDGVYVFEQPVPIPIYLLGLAAGDIACAPLGPRSNVYCEPALLEAAAGEFGGEIERFLDAAEELLPRYIWGNYNLLVCPSSYPYGGMEVAGTSFISPSVIAYDRSNNDLIVHEMAHSWSGNLITNANWGHFWLNEGWTVYLERRITGALHGEDTRQFSSLLGMAELEVAIRASNGASFALVEDVSESVNPDNVVSLAAYEKGSALLLHLERELGGTAAFDPFIKHYFGKFGGQSLTTWQFLDILFDFFADKREKLERIDWKTWLFAPGMPPKLTYSTSLADDVYDLAEQWLEKAVQLRLPEEFAAEFSGSVLAAFTTAQQILFLNTIIQGGVSPDNTFDWTQHPVAAAALLSVYADTLGKSRNQEIIYRRYNFQLTAGMEDAYPEITTWLGSTGRMKHVRPIYRRLASIDKALAASTFQEHREKYHPICRAAIQADLGLS