B0URU4 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigjxzmjxfc3x7u2cnm34fyhdll2yjvuqu4qg2g2g65liainegd73i/metadata.json
IPFS of structure file: 
bafybeigzniqjk3nrdhvzpqnk7zftfttsenjugyugut7bfsli4e4flq65sa/AF-B0URU4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4C61db56A1B4857BDd4290DbD771200A1bB035b4
First NFT owner address (bech32): 
genesis1f3sak44pkjzhhh2zjrdawufqpgdmqdd5hwe3wg
Current NFT ID #532367 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532367
Accession (UniProt):
B0URU4
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Histophilus somni (strain 2336)

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 B0URU4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0URU4|YIDD_HISS2 Putative membrane protein insertion efficiency factor OS=Histophilus somni (strain 2336) OX=228400 GN=HSM_2019 PE=3 SV=1 METSHSFGAKVLIGAIRIYQLMISPLIGPRCRFVPTCSCYGIQAVKTHGVVKGSWLTVKRILKCHPFNVGGYDPVPPKINNNKENE