A7HIY9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihgqw62sqsmjqvsqklu7b2zdjjddmwijcnvkeouxsqrqmq7p3u5ha/metadata.json
IPFS of structure file: 
bafybeihz34bw25jsl4soopj4jocuy7t3abqcbr4pccbee3cjsxyr5t5wmm/AF-A7HIY9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5ED9733378E46C361470CA3e501C69CDf9e1E73B
First NFT owner address (bech32): 
genesis1tmvhxvmcu3krv9rsegl9q8rfehu7reemnv2x0s
Current NFT ID #532172 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532172
Accession (UniProt):
A7HIY9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
ANAEROMYXOBACTER SP. (STRAIN FW109-5)

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 A7HIY9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7HIY9|YIDD_ANADF Putative membrane protein insertion efficiency factor OS=Anaeromyxobacter sp. (strain Fw109-5) OX=404589 GN=Anae109_4507 PE=3 SV=1 MIRRALVFLVRVYQRLVSPLLPPACRFYPSCSAYAATALERHGALKGSALAARRLLRCHPFHPGGIDPVPESER