A7LXT4 AF NFT

IPT/TIG domain-containing protein BACOVA_02650

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifxfm43ae6dxixvbb43zo5opefaqdhjx5w2fnsiub6tf7m3e47afe/metadata.json
IPFS of structure file: 
bafybeiacsx2yclhc2vauuhdzlvit3g7hsxb46mf63n5deeh277bo4euh4i/AF-A7LXT4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #513191 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
513191
Accession (UniProt):
A7LXT4
Name::
IPT/TIG domain-containing protein BACOVA_02650
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 A7LXT4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7LXT4|Y2650_BACO1 IPT/TIG domain-containing protein BACOVA_02650 OS=Bacteroides ovatus (strain ATCC 8483 / DSM 1896 / JCM 5824 / BCRC 10623 / CCUG 4943 / NCTC 11153) OX=411476 GN=BACOVA_02650 PE=1 SV=1 MKSIYKYLDTRLFLIGLLVLPFLAVVSCQNDDDDAIPVIHYIRVTDPAKADSTFTDVNPGTMIVVVGEHLGGTQKVYINDQEVSFNRNYVTSTSIILTVPNELELTGQNPELKGEIRIETEHGVAAYNMHVLSPAPYITRISATYPIKPGDQMTVIGGNFYEVQAVYLSTEQPAKDGTRPVDVQEITNYEVNNKYSQITLTAPANLLEEGYLVVECYTSSAVTEFKKNGPKPVVTAVSSTMPVVGSTVTITGQNFIEVSRVNINGEFDIPVGDITTSNTFDEISFVLPQAPTQSGHISVTAIGGTVESAEIFYPLENVILNYDGIGSHVWGDCSFVVADGSSAPYVSNGTCLGITGTVSASNYWWKQSYSNAQWVNTSIIPGNIPIDDLKLQFECFVKEVFTGPVFQIAMCENFDAALNGYVPVSSFTGKTETGKWMQCSVSLSSVVADATYQDFLNRNSTHIGVYATNPGSSQATIEVYFDNFRIVRK