A9QZ74 AF NFT

UPF0283 membrane protein YpAngola_A2532

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie5qpkzzs6bzkh3hhgskgz2it7cbxyv4uataeam3qz4aytvkgmyrq/metadata.json
IPFS of structure file: 
bafybeifcd73aog2xob5z3npcob3nom6raubbifo52ovrjiaxx3zlx4dt3i/AF-A9QZ74-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCC78Ace3dBC179a99a10f6D1FeDF008EfDA3457E
First NFT owner address (bech32): 
genesis1e3u2ec7mc9u6nxss7mglahcq3m76x3t7ftdxqs
Current NFT ID #512711 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
512711
Accession (UniProt):
A9QZ74
Name::
UPF0283 membrane protein YpAngola_A2532
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9QZ74 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9QZ74|Y2532_YERPG UPF0283 membrane protein YpAngola_A2532 OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=YpAngola_A2532 PE=3 SV=1 MSEPLKPRIDFEQPLQSLDEPVLKSAQAFDEQAAEKFYPAAPELDAEDEEGRVEGLVNAALKPKRSLWRKMVTAGMVILGASVIAQSVQWVNQAWQQQDWIALGATTAGGLIILAGVGSVVTEWRRLYHLRQRAEERDIARALLVSHGVGQGRVFCEKLARQAGLDQGHPALQRWQASLHETHNDREVVELYAKLVQPALDNQARAEISRYAAESALMIAVSPLALVDMAFIAWRNIRLINRIAALYGIELGYFSRIRLFRLVLLNIAFAGASELVREVGMDWLSQDLAARLSARAAQGIGAGLLTARLGIKAMELCRPLPWLEGDKPKLGDFRRQLMNQLKNTLPKKDKTAH