Q1K8E7 AF NFT

GATA-type transcription factor sre

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifh6sscqjbqzw5mv55f7prvnprwqqprl5xlgzcn3uewxxnmi2xvgm/metadata.json
IPFS of structure file: 
bafybeigx6lv7gmrkazjyzqfy4ykgkwq7xehdrx55jxofrxjt55ptyrnirq/AF-Q1K8E7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #436473 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436473
Accession (UniProt):
Q1K8E7
Name::
GATA-type transcription factor sre
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 Q1K8E7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1K8E7|SREA_NEUCR GATA-type transcription factor sre OS=Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) OX=367110 GN=sre PE=1 SV=1 MALPDDTRLMNNQTSIEGNSAPDRMALPSRPPPPTASNEPPEHESTGPVDEAASKSESGLSPNSKKAGHAAQSPSGRKKSPKIQNAQPAQSPAETVGVVNVATLGLVPSVQGHAGQVCSNCGTTHTPLWRRSPQGAIICNACGLYLKARNAARPANIRRPPSVMASNVRQAAAKLSPKKATAPLLPSNPGATYVAADQTPSGSCPGGGRCNGTGGAEGCGGCPAYNNRVSKSASLNVLKCQGAAAASSKKPQAAEGSGEEPTEMDITALHVQSQNTTVVIACQNCGTTITPLWRRDEAGHTICNACGLYYKLHGVHRPVTMKKAIIKRRKRVIPAAGGDAEIEPSEAPDSPPATSEPPMEKGTVNEDGSVNLGIRRRSVRPLTLVPEDELRRNRQASPLSSAALGQYHSSHTNQPHHGAHASLTYENRLAPIHSLALPVDRQASISPASFLSPSRKRSISAVENEPSSHNDNESHKRLSSIKSILNPMPSSEIHREVSPADQLRMQPASRSPAMSSLTPAHSPGSFSNSTVIGTPTSAPILRSASRDTHNDSERMKAERRAALEREAEMMRELLAAKERELAELGYD