Q8ETN0 AF NFT

Anti-sigma-W factor RsiW

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicoj5b3smzltwfr75v3ajy3yvgf2wkw6p6y3mlgydrfxl3xvgvcca/metadata.json
IPFS of structure file: 
bafybeiglnpwqldzcbxo3qaljlmgv76fmoqsr6rxxxp5pjf772ist4umr7e/AF-Q8ETN0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #411295 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
411295
Accession (UniProt):
Q8ETN0
Name::
Anti-sigma-W factor RsiW
Experimental Method:
Predicted structure
Sequence source:
OCEANOBACILLUS IHEYENSIS (STRAIN DSM 14371 / CIP 107618 / JCM 11309 / KCTC 3954 / HTE831)

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 Q8ETN0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8ETN0|RSIW_OCEIH Anti-sigma-W factor RsiW OS=Oceanobacillus iheyensis (strain DSM 14371 / CIP 107618 / JCM 11309 / KCTC 3954 / HTE831) OX=221109 GN=rsiW PE=3 SV=1 MSCSKDYLNLMHIYLDGDITREDESKLSRHLEDCESCQKHFHELNRTITLMRSAERVEAPDGFTENVMANLPSEKKTVKYRRWFKLHPMWTAAAIFLVLMAGGMISTWTHSSDQLVVSAQNELIVDGDTVIVPAGVTVPGDVLVKNGDLLLLGTVDGDVTIFNGKILDNDSEMNGEGLMASVGGVNGELETIDRMFEWIWYNIKNFFKGVFSF