Marine Pakovna

phd student at skoltech, life sciences | structural bioinformatician | sciart enjoyer

[Dmitry Ivankov @DmitryIvankov2]

Thanks to the fantastic mega dataset of @KotaroTsuboyama we with @kluwik assess the unbiased performance of current ∆∆G predictors with unprecedented accuracy (https://t.co/ouLLsRLHei). The limitation of the Pearson correlation of ~0.60 seems to be confirmed.

[Dmitry Ivankov @DmitryIvankov2]

Want to predict protein stability change due to mutation but no 3D structure in PDB? With @kluwik we showed that AlphaFold models or homologous structures are almost as good as original structures for ΔΔG predictions! I-Tasser homology models perform worse https://t.co/eyg220x5Ku

[Marine Pakovna @kluwik]

@Ella_Maru @MedicalIllSB Gorgeous! As always. What about adding this one? https://t.co/DXoe66lyst

[Marine Pakovna @kluwik]

@Ella_Maru Nice art 👍🏻 Have you used ucsf chimera?

[Marine Pakovna @kluwik]

@Ella_Maru your covers are amazing) do you use any chemical programs? #askellamaru

[Marine Pakovna @kluwik]

@Selena_Specter 👊❤