Q6A5A3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiditvb47n6dqgohbsgzgkii2uzxr2qdzo5lf23chqlttw47xgfmbq/metadata.json
IPFS of structure file: 
bafybeicmvxp7445o4w4z54e4xu2zwzsvufg5xdp2qwitxrsqigh6fb7x3u/AF-Q6A5A3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7782F4817b37743d738e9aF842bf74bd50f2015E
First NFT owner address (bech32): 
genesis1w7p0fqtmxa6r6uuwntuy90m5h4g0yq27nqe34a
Current NFT ID #532305 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532305
Accession (UniProt):
Q6A5A3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Cutibacterium acnes (strain DSM 16379 / KPA171202)

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 Q6A5A3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6A5A3|YIDD_CUTAK Putative membrane protein insertion efficiency factor OS=Cutibacterium acnes (strain DSM 16379 / KPA171202) OX=267747 GN=PPA2351 PE=3 SV=2 MRRFRPLTWLAIGFVKGWRALISPLYGDVCKYQPSCSTYGLRALQVHGVFRATPMIIWRILRCNPWSHGGYDPVPGTPEARQWRELHPETARSKNEPIHDLTDDNPRDHEPALRKSIPGYTDPGSTHTGTPSHTRGEN