Q35136 AF NFT

Probable intron-encoded endonuclease 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifsnja4a44co4bxzerx5kozw2i6nispxs3gqjmnljuwb6zjzjyjqa/metadata.json
IPFS of structure file: 
bafybeigrs675okjuwq5z3fhboo7pmoreeswqmk7ek3r5mqwjig27cslytu/AF-Q35136-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x159a74F8323b2EB2cC088ac2b0e2E49Cd847Cacd
First NFT owner address (bech32): 
genesis1zkd8f7pj8vht9nqg3tptpchynnvy0jkd052akh
Current NFT ID #184029 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
184029
Accession (UniProt):
Q35136
Name::
Probable intron-encoded endonuclease 4
Experimental Method:
Predicted structure
Sequence source:
NEUROSPORA CRASSA (STRAIN ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987)

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 Q35136 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q35136|IEND4_NEUCR Probable intron-encoded endonuclease 4 OS=Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) OX=367110 GN=NCU16011 PE=3 SV=2 MYLSIIILPLLGSIVAGFFGRKVGVSGAQLITCLSVIITTGLAILAFFEVGFNNIPVTINLFRWIDSEWYNILWGFQFDSLTVAMLIPVLIISSLVHIYSISYMSHDPHNQRFFSYLSLFTFMMIILVTANNYLLMFVGWEGVGVCSYLLVSFWFTRIAANQSSMSAFLTNRVGDCFLTIGMFVVLWTLGNLDYATVFSLAPYINSDIATIIGICLLIGAMAKSSQVGLHVWLPMAMEGFFSRAFLKLHYMQEHPVLSLGPLRFSLFGKIQDQGQFAGNSIRSSSEITSEAFMLKESWFKWWFIGFVEGDGSFIINKDGYLEFRITQSSPDAQILFMIKKELGFGVVRKQDSVRNTHCYRVRDKNNLIKLISIFNGNIFLDTRKEQFKLWLNAFNLKYKENIPHIDSSFRPNLDNAWLSGFTDAEGCFTCSVYDNKSNTAKLVRLRYILSQKGNSSCMEYLAEILGGKKHLLKSYEGYNVTVNTTKLSPIVQYFNLYPLKTKKYITYFNWIKIYKLVIDKKHNDPENLLLIMKYKNNINKSDYNK