C1B7S4 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicuzwn5ouqmsvm6mtkubmbhvvoyh5cziho35s3g2lbp3p36d7fj4q/metadata.json
IPFS of structure file: 
bafybeiepb4klnvmqdwky7uq6crsxsf4zfu4dj37eoqsm4lgfmyrzzzebou/AF-C1B7S4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #532495 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532495
Accession (UniProt):
C1B7S4
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Rhodococcus opacus (strain B4)

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 C1B7S4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1B7S4|YIDD_RHOOB Putative membrane protein insertion efficiency factor OS=Rhodococcus opacus (strain B4) OX=632772 GN=ROP_34800 PE=3 SV=1 MKSALHESRADTAEGTSSASSAWKSVRALPARTLIFFIELYRTYVSPLRMPTCRFMPTCSEYAVESLRTHGTIKGLLLTVVRLAKCAPWHPGGWDPVPARHDRHAGSRRCCPANVDEQRST