A7LXT5 AF NFT

SusD-like protein BACOVA_02651

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigk3jeoulis7lw2tt36ehk3qubckzr2vqv5j66os7r2brdylfna4m/metadata.json
IPFS of structure file: 
bafybeidmqqqu4r3slz5ffxmmtcywwkcuiby5awxwcpu5mmm6jl7bavbfs4/AF-A7LXT5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2CC53Bc1FAa1DC6ad060Fc9b01D7f4972cc8283E
First NFT owner address (bech32): 
genesis19nznhs0658wx45rqljdsr4l5jukvs2p7xzcxke
Current NFT ID #442317 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
442317
Accession (UniProt):
A7LXT5
Name::
SusD-like protein BACOVA_02651
Experimental Method:
Predicted structure
Sequence source:
Bacteroides ovatus (strain ATCC 8483 / DSM 1896 / JCM 5824 / BCRC 10623 / CCUG 4943 / NCTC 11153)

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 A7LXT5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7LXT5|SUSD_BACO1 SusD-like protein BACOVA_02651 OS=Bacteroides ovatus (strain ATCC 8483 / DSM 1896 / JCM 5824 / BCRC 10623 / CCUG 4943 / NCTC 11153) OX=411476 GN=BACOVA_02651 PE=1 SV=1 MRIFMKSKLLVIATTALLFAACSDSFLDRAPEGNYVDATFYTSDEALEAATAPLYNRAWFDYNQRSIVPIGSGRANDMYSPWNYPQFVTFQVTALDENLSGAWSGFYSVVTMANSVINAVETQTQGSVSEAAKTKAIAEARLMRACAYFYMLRIWGPVILIEDNQKLVDNPVRPLNREEDVFQFIINDLNYAVDNLSEQSDKGRATSWAAKGILAKVYLARSGWNNGGTRDEGDLELARQYASDVCENSGLDLMTNYEDLFKYKNNNNQESLLAMQWVPLGEWYECNTLLSDLAFSTEVTGGVNCWSSYNGSIDMLQQYELADTLRRNATFFTKGSYYSYICIKDGGYTYKGTASPIKKGVPGGPDDDNDGKVKQMNSPLNTYILRLADVYLTYAEACLGNNSTLSDGRGLYFFNRVRERAKINKKSSITLDDIIRERRVEFGMEYSNWYDMVTWFRYLPDKMLNYFNNQWRGYRTDAIIKDEDGKLHFGKYDTDGTTFLEGPEYYTAPEFTINIEAEDIFLPYPESDVIQNPLLNEPPVPYTFNE