P0CS64 AF NFT

mRNA 3'-end-processing protein YTH1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaciwqwqonvekyc43eln52uu6qygsy3puyvemzuqduzxkytu6fmk4/metadata.json
IPFS of structure file: 
bafybeicu4dfqn5alsj6afwf5izf5iufzsz4tgshk4fg5syqksgst75qegu/AF-P0CS64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #538508 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
538508
Accession (UniProt):
P0CS64
Name::
mRNA 3'-end-processing protein YTH1
Experimental Method:
Predicted structure
Sequence source:
Cryptococcus neoformans var. neoformans serotype D (strain JEC21 / ATCC MYA-565)

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 P0CS64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CS64|YTH1_CRYNJ mRNA 3'-end-processing protein YTH1 OS=Cryptococcus neoformans var. neoformans serotype D (strain JEC21 / ATCC MYA-565) OX=214684 GN=YTH1 PE=3 SV=1 MAAASNSAPLDPKLGRAADFVRPDFHQVNLDLENYLKTERNFKLDADQQICPLSITPLGCPLPPSQCPYRHTTPSQLNFKPPPPLPAHPREREKKLTVCKHYLRNLCKMGDNCEYTHDFNLRTMPVCIWFVKQGKCELGGECLYFHPRDRRVECPDYNRGFCVLGPNCPRKHIRRRLCDAYAAGFCPDGKDCKLAHPSPNRPPAESYINPIPPDPEAFNGPPPQLPAGYGRWREYKYDPNAVVVPAAAWVEGGSLSGWRAGGFLSANARRDNQRNRDNDDEGGRGSGGERKGGWQKDLSTVLCFRCNQYGHFANNCPNQYVPGDRGGGRRRE