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researcher

Mohamed Elkerdawy

3 papers hereh-index 2178 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG3

identity via Semantic Scholar / OpenAlex

most citedAnkh: Optimized Protein Language Model Unlocks General-Purpose Modelling

32 citations · 35 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025★ 2 cited

Ankh3: Multi-Task Pretraining with Sequence Denoising and Completion Enhances Protein Representations

Hazem Alsamkary, Mohamed Elshaffei, Mohamed Elkerdawy +1

Protein language models (PLMs) have emerged as powerful tools to detect complex patterns of protein sequences. However, the capability of PLMs to fully capture information on prote…

cs.LG2025★ 1 cited

Beyond Simple Concatenation: Fairly Assessing PLM Architectures for Multi-Chain Protein-Protein Interactions Prediction

Hazem Alsamkary, Mohamed Elshaffei, Mohamed Soudy +5

Protein-protein interactions (PPIs) are fundamental to numerous cellular processes, and their characterization is vital for understanding disease mechanisms and guiding drug discov…

cs.LG2023★ 32 cited

Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling

Ahmed Elnaggar, Hazem Essam, Wafaa Salah-Eldin +4

As opposed to scaling-up protein language models (PLMs), we seek improving performance via protein-specific optimization. Although the proportionality between the language model si…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.