PEGS Boston Summit Âü°¡ÀÚ¿¡ ÀÇÇÑ Ãßõ»ç

¡°I enjoyed my time at PEGS! It was a superb meeting and well organized. I enjoyed most the variety of the program and easy navigation using the app. I think the presence of so many companies and their active engagement in the program make this conference different compared to other conferences.¡±

¡°For me, the PEGS conferences are an important and continuous source to develop new ideas for research and product development. Every visit is a deep dive into a world full of science, insights, and ideas I can discuss with so many scientists establishing new collaborations and networks. Based on these interactions and ideas, PEGS has been the beginning for a significant number of new R&D projects in my career.¡±


 ¡°I never thought I'd enjoy networking, but PEGS is full of welcoming, innovative, accomplished people. It's exciting to learn from them and share ideas.¡±

¡°This is the summit of biologics where you learn from their early discovery to clinical advancement, and future directions.¡±

¡°It was great to see people coming back together, and I was able to make many new contacts. Cannot wait to see where they go, and I will definitely be back next year.¡±

¡°PEGSCELLENT!!!¡±

¡°It was a great experience to be back at in person conference at PEGS Boston 2022, the presentations were excellent, presenting a lot of novel research and highlighting the fantastic progress being made in biologics/cellular therapies. Highly recommend PEGS for future attendance.¡±

¡°PEGS was back in form this year with the in person event organized very well with all safety precautions. It was great to see many new and old colleagues and connecting with them. Short courses were a bonus!¡±

¡°#PEGS22 is THE opportunity to learn more about innovative approaches in the field of protein engineering.¡±

¡°I had a brilliant time attending #PEGS22. The conference gave me a unique opportunity to network with pharma companies from across the globe as well as hosting a wide range of speakers who are experts in their fields. I found it particularly interesting to see how the renaissance of machine learning in biology is being used to solve many problems including predicting affinity and immunogenicity of antibodies as well as protein structures using RoseTTAFold and Alphafold2.¡±

¡°A shout out to #PEGS22 , it was again an exceptional summit - so many new things learned, people met, conversations had - thank you, #pegsboston for hosting us.¡±

¡°PEGS offers a great opportunity to meet in person, something we very much missed over the last 2 years of the pandemic.¡±

¡°Particularly exciting for me was this year¡¯s new conference stream on ¡°Machine Learning Approaches for Protein Engineering¡±. Spearheaded by last year¡¯s emergence of AlphaFold2, the field has seen tremendous progress in methods for structure prediction, antibody design, binder generation etc.¡±
ÇØ´ç ÄÁÆÛ·±½º´Â Á¾·áµÇ¾ú½À´Ï´Ù.
Choose your language
Traditional Chinese
Simplified Chinese
Japanese
English_


Ç¥½ÃÇϱâ:

Engineering
°øÇÐ ½ºÆ®¸²
  • Display of Biologics
    ¹ÙÀÌ¿À·ÎÁ÷½ºÀÇ µð½ºÇ÷¹ÀÌ
  • Engineering Antibodies
    Ç×ü °øÇÐ
  • Machine Learning for Protein Engineering
    ´Ü¹éÁú ¿£Áö´Ï¾î¸µ¿ë ±â°èÇнÀ
Oncology
Á¾¾ç ½ºÆ®¸²
  • Antibodies for Cancer Therapy
    ¾ÏÄ¡·á¿ë Ç×ü
  • Emerging Targets for Oncology & Beyond
    Á¾¾ç ÀÌ¿Ü ½Å±Ô Ÿ±ê
  • Driving Clinical Success in Antibody-Drug Conjugates
    Ç×ü¾à¹°Á¢ÇÕü(ADC)ÀÇ ÀÓ»óÀû ¼º°øÀÇ ÃßÁø
Bispecific Antibodies
´ÙÁ߯¯À̼º ½ºÆ®¸²
Immunotherpary
¸é¿ªÄ¡·á ½ºÆ®¸²
  • Advances in Immunotherapy
    ¸é¿ªÄ¡·áÀÇ Áøº¸
  • Engineering Cell Therapies
    ¼¼Æ÷Ä¡·á °øÇÐ
  • Next-Generation Immunotherapies
    Â÷¼¼´ë ¸é¿ªÄ¡·á
Expression
¹ßÇö ½ºÆ®¸²
  • Difficult-to-Express Proteins
    ¹ßÇöÀÌ ¾î·Á¿î ´Ü¹éÁú
  • Optimizing Protein Expression
    ´Ü¹éÁú ¹ßÇöÀÇ ÃÖÀûÈ­
  • Maximizing Protein Production Workflows
    ´Ü¹éÁú »ý»ê ¿öÅ©Ç÷οìÀÇ ÃÖ´ëÈ­
Analytical
ºÐ¼®¹ý ½ºÆ®¸²
  • ML and Digital Integration in Biotherapeutic Analytics
    ¹ÙÀÌ¿ÀÀǾàǰ ºÐ¼®¿¡¼­ ML°ú µðÁöÅÐ ÅëÇÕ
  • Biophysical Methods
    »ý¹°¹°¸®ÇÐÀû ¹æ¹ý
  • Characterization for Novel Biotherapeutics
    ½Å±Ô ¹ÙÀÌ¿ÀÀǾàǰÀÇ Æ¯¼º Æò°¡
Immunogenicity
¸é¿ª¿ø¼º ½ºÆ®¸²
Emerging Modalities
½Å±Ô Ä¡·á ½ºÆ®¸²
  • Biologics for Immunology Indications
    ÀûÀÀ ¸é¿ª¿ë ¹ÙÀÌ¿À·ÎÁ÷½º
  • Radiopharmaceutical Therapies
    ¹æ»ç¼º ÀǾàǰ Ä¡·á
  • Next-Generation Immunotherapies
    Â÷¼¼´ë ¸é¿ªÄ¡·á
Machine Learning Stream
±â°èÇнÀ ½ºÆ®¸²
  • ML and Digital Integration in Biotherapeutic Analytics
    ¹ÙÀÌ¿ÀÀǾàǰ ºÐ¼®¿¡¼­ ML°ú µðÁöÅÐ ÅëÇÕ
  • Predicting Immunogenicity with AI/ML Tools
    AI/ML Åø¿¡ ÀÇÇÑ ¸é¿ª¿ø¼º ¿¹Ãø
  • Machine Learning for Protein Engineering
    ´Ü¹éÁú ¿£Áö´Ï¾î¸µ¿ë ±â°èÇнÀ

Premier Sponsors

FairJourneyBiologics GenScript-CRO Integral-Molecular_NEW  LONZAOmniAbUnchainedLabs
Catalog Download
Catalog