A3GHW9 AF NFT

ATP-dependent RNA helicase ROK1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifryzpelwj5ptwp4lqcvtz2dl2pzlyddk5qfmf7ae2doznvs5qwdq/metadata.json
IPFS of structure file: 
bafybeichfemwolvk7afse2rps5bx4apjyzyrd4glhq2aknqkqgs26quxim/AF-A3GHW9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf97f120f1cAC0985138AF468D0d17B7b3f67FB36
First NFT owner address (bech32): 
genesis1l9l3yrcu4syc2yu2735dp5tm0vlk07ek0qjgd2
Current NFT ID #384595 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
384595
Accession (UniProt):
A3GHW9
Name::
ATP-dependent RNA helicase ROK1
Experimental Method:
Predicted structure
Sequence source:
SCHEFFERSOMYCES STIPITIS (STRAIN ATCC 58785 / CBS 6054 / NBRC 10063 / NRRL Y-11545)

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 A3GHW9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3GHW9|ROK1_PICST ATP-dependent RNA helicase ROK1 OS=Scheffersomyces stipitis (strain ATCC 58785 / CBS 6054 / NBRC 10063 / NRRL Y-11545) OX=322104 GN=ROK1 PE=3 SV=1 MDIFRILSRGASLKKSKDVTTDYALPSAKQQQYEQHKEDTLQHQVDKEIDFFHTKKHNSSKSFDSTDSKHTKEEKKEKKEDEEAPPLEIQTVEDSIKLRKANHSKVTGEDIPLPIGSFQDMIGRFRLDSKLLSNLLEAEFVEPTAIQCESLPISLSGRDLIACAPTGSGKTLAFLIPLIQSLLVSSKGRPKNYGITGLVISPTNELAIQIFQELQILTRGKKLNVAILSKQLANKLNNDIVKASKYDIIVSTPLRLIDIVKNEKVDLSKVEQLVIDEADKLFDQGFVEQTDDILSHCTYTKIRKSMFSATIPSGVEEMAHSIMRDPIRVIIGRKEAASNTIDQKLVFTGSEEGKLLAIRQMIQEGEFKPPIIIFLQSIHRAKALFHELLYDKLNVDVIHAERTPKQREEVIKRFKNGDIWVLITTDVLARGVDFKGVNMVINYDVPQTAQAYVHRIGRTGRGGKAGRAVTFFTKEDDQAVKPIINVMKQSGCEAGFSGWMENMTKMSKNEKKKVKHKEIDRKDISTVPKLVKHKRKQREQMIEASKKRKQEETRNALQ