Martin Mayta (@martinmayta2) 's Twitter Profile
Martin Mayta

@martinmayta2

BSc Biotechnology - PhD in Biological Sciences. Teaching assistant professor at @UNRoficial & @UAPArgentina (Argentina)🇦🇷.

ID: 1311434254505701377

linkhttps://scholar.google.com/citations?user=XtJ9a1IAAAAJ&hl=es calendar_today01-10-2020 00:02:58

2,2K Tweet

198 Followers

523 Following

Mikey Chungyoun (@mchungyoun) 's Twitter Profile Photo

Antibody-antigen complex prediction results from all-atom benchmark, FoldBench: (1) AlphaFold3 performs best with a success rate of 47.9% while other models have a failure rate exceeding 60%. (2) Increased sampling improves AF3 performance by 2-3% but not for other models.

Antibody-antigen complex prediction results from all-atom benchmark, FoldBench: (1) AlphaFold3 performs best with a success rate of 47.9% while other models have a failure rate exceeding 60%. (2) Increased sampling improves AF3 performance by 2-3% but not for other models.
Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

Improving Protein Sequence Design through Designability Preference Optimization 🚀 New preprint from David Baker!🚀 1.This work introduces ResiDPO, a novel training strategy for protein sequence design (PSD) that directly optimizes for designability—the likelihood that a

Improving Protein Sequence Design through Designability Preference Optimization

🚀 New preprint from David Baker!🚀

1.This work introduces ResiDPO, a novel training strategy for protein sequence design (PSD) that directly optimizes for designability—the likelihood that a
Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

Benchmark for Antibody Binding Affinity Maturation and Design 1. AbBiBench introduces a new framework for evaluating antibody binding affinity maturation and design, addressing gaps in previous methods that relied on isolated antibodies or similarity to natural variants. 2.

Benchmark for Antibody Binding Affinity Maturation and Design

1. AbBiBench introduces a new framework for evaluating antibody binding affinity maturation and design, addressing gaps in previous methods that relied on isolated antibodies or similarity to natural variants.

2.
Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

An improved model for prediction of de novo designed proteins with diverse geometries 1.A new approach to predicting de novo designed proteins with diverse geometries is presented, using a fine-tuned version of AlphaFold2 (AF2) to improve accuracy. 2.Current deep

An improved model for prediction of de novo designed proteins with diverse geometries

1.A new approach to predicting de novo designed proteins with diverse geometries is presented, using a fine-tuned version of AlphaFold2 (AF2) to improve accuracy.

2.Current deep