Q4QNA2 AF NFT

Recombination protein RecR

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigmbnnop34anyyzcqxxpoav7d6qyp2wpwfj7mxvxptiw4fknmsviy/metadata.json
IPFS of structure file: 
bafybeiahbhj2pecp7gqcyhubyktightovyux7zxbuhifrqiy4bmci26jau/AF-Q4QNA2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf99Dfb88a9dDC28BfCf98bd01481300A29a317a9
First NFT owner address (bech32): 
genesis1lxwlhz9fmhpghl8e30gpfqfspg56x9afam87ae
Current NFT ID #338112 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
338112
Accession (UniProt):
Q4QNA2
Name::
Recombination protein RecR
Experimental Method:
Predicted structure
Sequence source:
HAEMOPHILUS INFLUENZAE (STRAIN 86-028NP)

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 Q4QNA2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4QNA2|RECR_HAEI8 Recombination protein RecR OS=Haemophilus influenzae (strain 86-028NP) OX=281310 GN=recR PE=3 SV=1 MQSSPLLEHLIENLRCLPGVGPKSAQRMAYHLLQRNRSGGMNLARALTEAMSKIGHCSQCRDFTEEDTCNICNNPRRQNSGLLCVVEMPADIQAIEQTGQFSGRYFVLMGHLSPLDGIGPREIGLDLLQKRLVEESFHEVILATNPTVEGDATANYIAEMCRQHNIKVSRIAHGIPVGGELETVDGTTLTHSFLGRRQID