B9L0L5 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidtyp3pajz6ook4ijsl7jwiixkcpmpeadr2zyweac7k6nt4bzwlbm/metadata.json
IPFS of structure file: 
bafybeig2qhidglfs7wzzcit26edq7aazpw3cfqnfhswry6t5zgj3ygsy4i/AF-B9L0L5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152
First NFT owner address (bech32): 
genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn
Current NFT ID #532627 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532627
Accession (UniProt):
B9L0L5
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
THERMOMICROBIUM ROSEUM (STRAIN ATCC 27502 / DSM 5159 / P-2)

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 B9L0L5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9L0L5|YIDD_THERP Putative membrane protein insertion efficiency factor OS=Thermomicrobium roseum (strain ATCC 27502 / DSM 5159 / P-2) OX=309801 GN=trd_1086 PE=3 SV=1 MTKLALLLIRFYQRFISPGLPPACRFYPTCSEYGYEAISRYGIIKGGVLTVRRLLRCHPFHPGGYDPVP