A8PRT2 Elongation factor Ts, mitochondrial MolNFT, Molecular NFT on GenesisL1

Elongation factor Ts, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihhqfiwthc7224jgfq4m36pgkfl7ir6jscegqxzrmuubesdhk7rcy/metadata.json

IPFS of structure file:

bafybeiag4c43l2w75mupd4g4s4zvcy3l7u4qq6xoywefudgvtwxoy2jfbu/AF-A8PRT2-F1-model_v2.pdb

First NFT owner address (eip-55):

0x86283f5e0b64C8C8cAC3e5b76FB193d147dB34BD

First NFT owner address (bech32):

genesis1sc5r7hstvnyv3jkrukmklvvn69rakd9ahl2cgd

Current NFT ID #113240 owner (web3):

0x86283f5e0b64C8C8cAC3e5b76FB193d147dB34BD

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
113240
Accession (UniProt):
A8PRT2
Name::
Elongation factor Ts, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
MALASSEZIA GLOBOSA (STRAIN ATCC MYA-4612 / CBS 7966)

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 A8PRT2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A8PRT2|EFTS_MALGO Elongation factor Ts, mitochondrial OS=Malassezia globosa (strain ATCC MYA-4612 / CBS 7966) OX=425265 GN=TSF1 PE=3 SV=1 MRAMRPVAHLARCFCASSSVKETRPSIQAIAELRKALPGTSMLKAREALTASRSPDAPDTDNVEAAIAWLEQTRASDGAKREAKVASRVTAEGTIGLCTLSDGISSPGARAAMVELNCETDFVARNDIFGALARDIAHTAAWFPIVAASETSAVLSDVDVAAFLECPIIPFEASEENKHDVISVRAAITSVVARLGEKVALGRVASLAPTSGGSHGSALVCGSFAHGTASAPPAPQTPVAATFASGRVASLLAVQVHGPLSQRIMSRTATTQHNDHDHDRNGDDERKRQLRALARSLARQAAGFPTTSVDAPSATAAVASDASSETSGALLTQPFVMLLPAAGLDPSVNEQKSVRDALELWSNTYAGQADGIRVAALRRWEVGETAARPSDETSFADQVKEAAGLA

A8PRT2 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A8PRT2 research and analysis (ICN3D with VR)

FASTA sequences

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