B2VC50 AF NFT

Putative transport protein ETA_21820

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibbbsxhjwd3v2f2pge6wvwqgwulp6kof5xlkiugb5aahhajuwte6m/metadata.json
IPFS of structure file: 
bafybeihfs2rk5obzzkrrdbudpioce6unadm4wzuu2wqfpykdkfgoegp4cm/AF-B2VC50-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #511287 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
511287
Accession (UniProt):
B2VC50
Name::
Putative transport protein ETA_21820
Experimental Method:
Predicted structure
Sequence source:
Erwinia tasmaniensis (strain DSM 17950 / CFBP 7177 / CIP 109463 / NCPPB 4357 / Et1/99)

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 B2VC50 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2VC50|Y2182_ERWT9 Putative transport protein ETA_21820 OS=Erwinia tasmaniensis (strain DSM 17950 / CFBP 7177 / CIP 109463 / NCPPB 4357 / Et1/99) OX=465817 GN=ETA_21820 PE=3 SV=1 MNINVADLLIGNHILLLFVVLALGLCLGKLRLGSVQLGNSIGVLVVSLLLGQQHFSINTDALNLGFMLFIFCVGVEAGPNFFSIFFRDGKNYLMLAIVMVSSAMVLALGLGKLFGWDIGLTAGMLAGSMTSTPVLVGAGDTLRQTLTDGKSLSLAQDHLSLGYALTYLVGLVSLIFGARYLPKLQHQDLPTSAQQIARERGLDPDSKRKVYLPVIRAYRVGPELVAWSDGKNLRELGIYRQTGCYIERIRRNGILASPDGDAVLQPGDEISLVGYPDAHARLDPSFRNGKEVFDRDLLDMRIVNEEIVVKNNNAVNRRLSQLKLTDHGCFLNRVIRSQIEMPIDESIILNKGDVLHISGEARRVKSVADRIGFISIHSQVTDLLAFCAFFILGLMIGMITFQFSNFNFGIGNAAGLLFAGIMLGFLRANHPTFGYIPQGALTMVKEFGLMVFMAGVGLSAGSGITKGLGETGLLMLGAGLIVSLVPVVICFLFGAWVLKMNRALLFGAIMGARTCAPAMEIISDTARSNIPALGYAGTYAIANVLLTLAGTLIVIIWPILGG