Search Results for author: Seongwon Kim

Found 4 papers, 2 papers with code

Characterization of Phosphorylated Tau-Microtubule complex with Molecular Dynamics (MD) simulation

1 code implementation18 Dec 2023 Seongwon Kim, Parisa Mollaei, Amir Barati Farimani, Anne Skaja Robinson

Alzheimer's Disease (AD), a neurodegenerative disorder, is reported as one of the most severe health and socioeconomic problems in current public health.

Dimensionality Reduction

GPCR-BERT: Interpreting Sequential Design of G Protein Coupled Receptors Using Protein Language Models

no code implementations30 Oct 2023 Seongwon Kim, Parisa Mollaei, Akshay Antony, Rishikesh Magar, Amir Barati Farimani

In this paper, we developed the GPCR-BERT model for understanding the sequential design of G Protein-Coupled Receptors (GPCRs).

PeptideBERT: A Language Model based on Transformers for Peptide Property Prediction

1 code implementation28 Aug 2023 Chakradhar Guntuboina, Adrita Das, Parisa Mollaei, Seongwon Kim, Amir Barati Farimani

In this work, inspired by recent progress in Large Language Models (LLMs), we introduce PeptideBERT, a protein language model for predicting three key properties of peptides (hemolysis, solubility, and non-fouling).

Property Prediction Protein Language Model

UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes

no code implementations ICCV 2023 Sunwook Hwang, Youngseok Kim, Seongwon Kim, Saewoong Bahk, Hyung-Sin Kim

In this paper, we propose UpCycling, a novel SSL framework for 3D object detection with zero additional raw-level point cloud: learning from unlabeled de-identified intermediate features (i. e., smashed data) to preserve privacy.

3D Object Detection Autonomous Driving +3

Cannot find the paper you are looking for? You can Submit a new open access paper.