Q9UT83 AF NFT

Meiotically up-regulated gene 28 protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigtjq7oviauw73eueo7nm7xykhh3whnvwlui7emzmok3k4uqsyvze/metadata.json
IPFS of structure file: 
bafybeic2ig4camslwwa3hoeyguiuhdtn2c2b42khxfqyxadvtifitjc4dy/AF-Q9UT83-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x47141EE8158A0321829cdC551eFDDc824D2AF978
First NFT owner address (bech32): 
genesis1gu2pa6q43gpjrq5um323alwusfxj47tcnuvv29
Current NFT ID #249341 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
249341
Accession (UniProt):
Q9UT83
Name::
Meiotically up-regulated gene 28 protein
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 Q9UT83 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9UT83|MUG28_SCHPO Meiotically up-regulated gene 28 protein OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=mug28 PE=1 SV=1 MIALEKLSEKNKRSTKKCEISIYVGNLPSTCQSSDLHELFEPFGNFSKFHMLSRKKNKSTDSKSPTLFAFITFENKCSADNAIASLNGSSFQGNTLKVEYTHIVERYKNKLENGVDQIHHSNNEKAKIRFSKIEKYTKETRPTVSEVRVSTKDKKEYSMNTSNLVQSNPPKVHDKENAFAEATGTSILSSKAVQTLLVSDFTENEPKHLSIRPNCKDNNTPSISNTFIEPYKENNTEHLHLKSAFEPCQMMPGMLLEQNPQFLYDNPSIFVIGILNLPLKVSPVELYNEFSNHGHILGVAINQSINEDMTHYAEVAVSTYESCIEIIEKFHAIAYEGSILQLFIKQPVQGFCSNLLNHPEGTMTNLLPPNMEMPQPFEIPVIAKTSALPNPFISFPSFQTSYETTVTPTPTSTPTIDPCNLFVKNLDDNIVGNTQQLEELFSKFGRIKSCTLASYPSTEISKGYGFVSFSHPFEAVQAINTLNGVLFGKKRLFVNYAEKREDRKKRLSAIFSQSYPPVVPSPSLTIPMATEPQILEYHQEWPQPLIQSIQQHGYSDPRQTLPTRLDSCAAKLREAVISNENLNPSHKFGIKHSTFKTSLSPLTNIVLNQ