B1IWS5 AF NFT

Putative transport protein YbjL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie3kyqnbd2z4vfsjlpprllrnfb7czwg32cklvsiscige7lib23rjy/metadata.json
IPFS of structure file: 
bafybeiehwsl7thjkmnhk27equnuqg4lxy2iz5w27csvv6vjq6w7jfqrxly/AF-B1IWS5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7322182A904Ab8270621E3B35dc80C787052A76f
First NFT owner address (bech32): 
genesis1wv3ps25sf2uzwp3puwe4mjqv0pc99fm09dtz3r
Current NFT ID #525800 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
525800
Accession (UniProt):
B1IWS5
Name::
Putative transport protein YbjL
Experimental Method:
Predicted structure
Sequence source:
Escherichia coli (strain ATCC 8739 / DSM 1576 / NBRC 3972 / NCIMB 8545 / WDCM 00012 / Crooks)

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 B1IWS5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1IWS5|YBJL_ECOLC Putative transport protein YbjL OS=Escherichia coli (strain ATCC 8739 / DSM 1576 / NBRC 3972 / NCIMB 8545 / WDCM 00012 / Crooks) OX=481805 GN=ybjL PE=3 SV=1 MNINVAELLNGNYILLLFVVLALGLCLGKLRLGSIQLGNSIGVLVVSLLLGQQHFSINTDALNLGFMLFIFCVGVEAGPNFFSIFFRDGKNYLMLALVMVGSALVIALGLGKLFGWDIGLTAGMLAGSMTSTPVLVGAGDTLRHSGMESRQLSLALDNLSLGYALTYLIGLVSLIVGARYLPKLQHQDLQTSAQQIARERGLDTDANRKVYLPVIRAYRVGPELVAWTDGKNLRELGIYRQTGCYIERIRRNGILANPDGDAVLQMGDEIALVGYPDAHARLDPSFRNGKEVFDRDLLDMRIVTEEVVVKNHNAVGKRLAQLKLTDHGCFLNRVIRSQIEMPIDDNVVLNKGDVLQVSGDARRVKTIADRIGFISIHSQVTDLLAFCAFFVIGLMIGMITFQFSTFSFGMGNAAGLLFAGIMLGFMRANHPTFGYIPQGALSMVKEFGLMVFMAGVGLSAGSGINNGLGAIGGQMLIAGLIVSLVPVVICFLFGAYVLRMNRALLFGAMMGARTCAPAMEIISDTARSNIPALGYAGTYAIANVLLTLAGTIIVMVWPGLG