A9CHH2 AF NFT

Signal recognition particle receptor FtsY

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicjer2hpniii65l2pxf3tje6kcjfm2l7l7sdhlw5gzrad2ffb4g2u/metadata.json
IPFS of structure file: 
bafybeihcd7th24pkcxensaep3fgiwwjekhkdikgci4ydgw53lmxkzypbqi/AF-A9CHH2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #137764 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
137764
Accession (UniProt):
A9CHH2
Name::
Signal recognition particle receptor FtsY
Experimental Method:
Predicted structure
Sequence source:
AGROBACTERIUM FABRUM (STRAIN C58 / ATCC 33970)

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 A9CHH2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9CHH2|FTSY_AGRFC Signal recognition particle receptor FtsY OS=Agrobacterium fabrum (strain C58 / ATCC 33970) OX=176299 GN=ftsY PE=3 SV=1 MALGFIKKVFSFGKDKAETEERPQEDAALERGNENASFEAALSDAEAHDAVDKDPVSELEMETAGGPAADEAVDVAPAEDDEEEDAPLLPGAELSGDMGLVPLSLLQAEAAAEEQGEPLPEPLDAGLDADAMDALLNEAEAASAVESPAIPPVLPKGFSSAREREEPVPVAPQVKLTWFQRLRAGLARTSSQLTTQISALFTKRKLDEDTLDELEDLLIQSDLGVETAMRITGALSSERYGKDVSGEDVARIMAGEITKVLKPVAKPLELDLSHKPHVILVVGVNGTGKTTTIGKLAAKLSGSGLKVMLAAGDTFRAAAIEQLKIWADRTGSEFIGTKLGADAAGLAYDAYEQARAQKSDVLIIDTAGRLQNKTELMAELEKIVRVLGKLDPDAPHTVLQTLDATTGQNAMNQVEIFRNVAGVSGLIMTKLDGTARGGILVAIAAKHKLPVYFIGVGEGVEDLEPFEAEDFAKAIAGV