A9R7J2 AF NFT

UPF0434 protein YpAngola_A1964

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiasmcaalpnp24uviieqwu6ng3fcswplrxld3ytwacsgbitko2iiii/metadata.json
IPFS of structure file: 
bafybeidp5jydrvz73r3kimngs2ssptdqfhqhj44aztg4bwwbhqqjb5hrgu/AF-A9R7J2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x473a866D01BaacC5B3b6058eD2e8CFa195DE4d05
First NFT owner address (bech32): 
genesis1guagvmgph2kvtvakqk8d96x05x2aung9ramqyn
Current NFT ID #510234 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
510234
Accession (UniProt):
A9R7J2
Name::
UPF0434 protein YpAngola_A1964
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 A9R7J2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R7J2|Y1964_YERPG UPF0434 protein YpAngola_A1964 OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=YpAngola_A1964 PE=3 SV=1 MDHRLLEIVACPVCNGKLYFNKENLELVCKVDNLAYPVRDGIPVLLENEARPLSIDEKHA