Q48458 AF NFT

Uncharacterized 65.4 kDa protein in cps region

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidi3ne3kisnarvqyrqrtbbqrb5ggak2iwv625kgirhsrfct3n4hvi/metadata.json
IPFS of structure file: 
bafybeidk73nf7wkmmm466aaia36vfihhbsayhkuex3wdjqlqrjhpbkenwq/AF-Q48458-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3b717539F838064d82F348B800071a094E02728E
First NFT owner address (bech32): 
genesis18dch2w0c8qrymqhnfzuqqpc6p98qyu5wz2qzkf
Current NFT ID #526018 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
526018
Accession (UniProt):
Q48458
Name::
Uncharacterized 65.4 kDa protein in cps region
Experimental Method:
Predicted structure
Sequence source:
KLEBSIELLA PNEUMONIAE

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 Q48458 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q48458|YC12_KLEPN Uncharacterized 65.4 kDa protein in cps region OS=Klebsiella pneumoniae OX=573 PE=4 SV=1 MKLHMSKTYFLKKLIPSLTLFPVLTSYASSNKDVIESPQSKRYTIESIKQYISLFIGECVFISGQEATQDDSFFYSGYFVSIPVIADELIDNVIYIRGKNCTWKRKIDDFIDVSWFGAIGDGINDDSNAISRANIAAHNECLPLKFIPGHIYQVKNTYEIDVSKTSWFSSDLSTLKWFNDFNADFAIRLFSSQKDYSKRFQNVKVAIKSIAIIGAGIKNLLDSCAIKIGGDERNSSLFTIDSVSIQGWRTTLAFDNNSWRIKFCDCHFLWGNIIAPPGNKNSGECMVFDNCMFADNRSYTELHYGDWFFSKCSFDNHEVKLFGDANVFINQSHMENPGRKTTDFTIVSINSINSFASVIDSFIFISPTPKIINTPLFYVISDNENGLYVRNLRFQATENYNPSKGTENALVLVGGDGKSYLENVRVSLNNKSYLALNKNDSSVLMNSRFKDGLRYWDFNDGVSLQARISSNDSETIVFSKNGASLSQSVLVKSTGILSGGMMLKIVSGDLKLTLECYDSLDNNITTREWNCSASDYSDWSWVRFGEKLPDNIRKIKFYCKSFGQSVDVKLSTILMDIIS