π Scientific Large Language Models: A Survey on Biological & Chemical Domains
π Journal: ACM Computing Surveys (π₯I.F.=28)
πPublish year: 2025
π§βπ»Authors: Qiang Zhang, Keyan Ding, Tianwen Lv, ...
π’Universities: Zhejiang University, China
π Study the paper
π¦ Supplementary Materials
π²Channel: @Bioinformatics
#review #llm #protein #molecular #genomic
π Journal: ACM Computing Surveys (π₯I.F.=28)
πPublish year: 2025
π§βπ»Authors: Qiang Zhang, Keyan Ding, Tianwen Lv, ...
π’Universities: Zhejiang University, China
π Study the paper
π¦ Supplementary Materials
π²Channel: @Bioinformatics
#review #llm #protein #molecular #genomic
π7β€2π₯1π1π1
π Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey
πPublish year: 2025
π§βπ»Authors: Payam Zohari & Mostafa Haghir Chehreghani
π’University: Amirkabir University of Technology (Tehran Polytechnic), Iran
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #multi_omics #gnn
πPublish year: 2025
π§βπ»Authors: Payam Zohari & Mostafa Haghir Chehreghani
π’University: Amirkabir University of Technology (Tehran Polytechnic), Iran
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #multi_omics #gnn
β€6π1π1
π£ Pre-Registration Now Open for the International ORCA Workshop
β Interested? Please fill out this short pre-registration form:
π https://forms.gle/UQZgNvr26AGBSnja6
____________________________________
Are you interested in learning how to perform quantum mechanical calculations using the powerful and free ORCA software package?
We are excited to announce a potential international workshop on ORCA, a widely used program for quantum chemistry calculations. Whether you're a beginner or have basic knowledge of computational chemistry, this workshop is designed to introduce you to ORCA and help you get started with geometry optimization, frequency analysis, transition state searches, and more.
π¨βπ« Instructor: Dr. Mehdi Irani β a recognized expert in computational chemistry
π https://prof.uok.ac.ir/m.irani/index.htm
____________________________________
π§ͺ What is ORCA?
ORCA is a versatile and efficient quantum chemistry software developed by the Neese group. It supports a wide range of methods, including:
β’ HartreeβFock
β’ DFT
β’ Post-HartreeβFock methods (e.g., MP2, CCSD)
β’ Multiscale QM/MM techniques
It is freely available for academic use and runs on Linux, macOS, and Windows platforms.
________________________________
π Topics to Be Covered
β’ Introduction to quantum mechanical methods in chemistry
β’ Installing and running ORCA on your system
β’ Preparing input files for basic and advanced calculations
β’ Geometry optimizations and single-point energy calculations
β’ Frequency calculations and reaction transition states
β’ Analyzing output files
β’ (Possibly) An introduction to QM/MM and QM1/QM2 multiscale methods using ORCA
________________________________
π― Who Should Attend?
This workshop is suitable for:
β’ Students, researchers, and faculty with elementary knowledge of quantum chemistry or molecular modeling
β’ Beginners looking to start using ORCA for their computational research
β’ Participants from any country or region interested in theoretical chemistry
________________________________
π Tentative Date
The workshop is planned for late August or early September 2025.
The exact date and structure will be finalized based on the number of interested participants.
β Interested? Please fill out this short pre-registration form:
π https://forms.gle/UQZgNvr26AGBSnja6
____________________________________
Are you interested in learning how to perform quantum mechanical calculations using the powerful and free ORCA software package?
We are excited to announce a potential international workshop on ORCA, a widely used program for quantum chemistry calculations. Whether you're a beginner or have basic knowledge of computational chemistry, this workshop is designed to introduce you to ORCA and help you get started with geometry optimization, frequency analysis, transition state searches, and more.
π¨βπ« Instructor: Dr. Mehdi Irani β a recognized expert in computational chemistry
π https://prof.uok.ac.ir/m.irani/index.htm
____________________________________
π§ͺ What is ORCA?
ORCA is a versatile and efficient quantum chemistry software developed by the Neese group. It supports a wide range of methods, including:
β’ HartreeβFock
β’ DFT
β’ Post-HartreeβFock methods (e.g., MP2, CCSD)
β’ Multiscale QM/MM techniques
It is freely available for academic use and runs on Linux, macOS, and Windows platforms.
________________________________
π Topics to Be Covered
β’ Introduction to quantum mechanical methods in chemistry
β’ Installing and running ORCA on your system
β’ Preparing input files for basic and advanced calculations
β’ Geometry optimizations and single-point energy calculations
β’ Frequency calculations and reaction transition states
β’ Analyzing output files
β’ (Possibly) An introduction to QM/MM and QM1/QM2 multiscale methods using ORCA
________________________________
π― Who Should Attend?
This workshop is suitable for:
β’ Students, researchers, and faculty with elementary knowledge of quantum chemistry or molecular modeling
β’ Beginners looking to start using ORCA for their computational research
β’ Participants from any country or region interested in theoretical chemistry
________________________________
π Tentative Date
The workshop is planned for late August or early September 2025.
The exact date and structure will be finalized based on the number of interested participants.
Google Docs
Pre-Registration_ORCA Workshop
Pre-Registration Now Open for the International ORCA Workshop
π4β€1
π©βπ« Single-Molecule & Spatial Sequencing: Methods & Applications (Spring 2025)
π₯Online recorded course from Cornell University
π©βπ» Course link
π Recorded videos
π²Channel: @Bioinformatics
#video #course #sequencing #rna
π₯Online recorded course from Cornell University
π©βπ» Course link
π Recorded videos
π²Channel: @Bioinformatics
#video #course #sequencing #rna
π7
πΉ Visualization and interpretation of high-throughput genomics data
π₯ From University of Virginia
π Watch
π²Channel: @Bioinformatics
#video #viualization #genomics
π₯ From University of Virginia
π Watch
π²Channel: @Bioinformatics
#video #viualization #genomics
YouTube
UVA BIMS6000 Block 2 Lecture on Data Visualization 20240820
π3β€2
π Learning and teaching biological data science in the Bioconductor community
π Journal: PLOS Computational Biology (I.F.=3.6)
πPublish year: 2025
π§βπ»Authors: Jenny Drnevich ,Frederick J. Tan ,Fabricio Almeida-Silva, ...
π’Universities: University of Illinois Urbana-Champaign & Johns Hopkins University & , USA - Ghent University,Belgium - Universitat Pompeu Fabra, Spain - University of Limerick, Ireland
π Study the paper
π²Channel: @Bioinformatics
#data #bioconductor #r
π Journal: PLOS Computational Biology (I.F.=3.6)
πPublish year: 2025
π§βπ»Authors: Jenny Drnevich ,Frederick J. Tan ,Fabricio Almeida-Silva, ...
π’Universities: University of Illinois Urbana-Champaign & Johns Hopkins University & , USA - Ghent University,Belgium - Universitat Pompeu Fabra, Spain - University of Limerick, Ireland
π Study the paper
π²Channel: @Bioinformatics
#data #bioconductor #r
π3β€2π₯1π1
π Integrating artificial intelligence in drug discovery and early drug development: a transformative approach
π Journal: Biomarker Research (I.F.=11.5)
πPublish year: 2025
π§βπ»Authors: Alberto Ocana, Atanasio Pandiella, Cristian Privat, ...
π’Universities: Instituto de InvestigaciΓ³n Sanitaria San Carlos (IdISSC) & Instituto de BiologΓa Molecular y Celular del CΓ‘ncer & Universidad de Castilla La Mancha, Spain
π Study the paper
π²Channel: @Bioinformatics
#review #ai #drug
π Journal: Biomarker Research (I.F.=11.5)
πPublish year: 2025
π§βπ»Authors: Alberto Ocana, Atanasio Pandiella, Cristian Privat, ...
π’Universities: Instituto de InvestigaciΓ³n Sanitaria San Carlos (IdISSC) & Instituto de BiologΓa Molecular y Celular del CΓ‘ncer & Universidad de Castilla La Mancha, Spain
π Study the paper
π²Channel: @Bioinformatics
#review #ai #drug
β€5π2π1
π Transformers in Protein: A Survey
πPublish year: 2025
π§βπ»Authors: Xiaowen Ling, Zhiqiang Li, Yanbin Wang, Zhuhong You
π’Universities: Shenzhen MSU-BIT University & Northwestern Polytechnical University, China
π Study the paper
π²Channel: @Bioinformatics
#review #transformer #protein
πPublish year: 2025
π§βπ»Authors: Xiaowen Ling, Zhiqiang Li, Yanbin Wang, Zhuhong You
π’Universities: Shenzhen MSU-BIT University & Northwestern Polytechnical University, China
π Study the paper
π²Channel: @Bioinformatics
#review #transformer #protein
π₯2π1
π Leveraging Computational Biology to Understand Immunologic Diseases
π₯From University of Washington Department of Medicine
π₯ Watch
π²Channel: @Bioinformatics
#video #Immunology #disease
π₯From University of Washington Department of Medicine
π₯ Watch
π²Channel: @Bioinformatics
#video #Immunology #disease
YouTube
4/25/25 - Leveraging Computational Biology to Understand Immunologic Diseases
Full Title: Leveraging Computational Biology to Understand the Molecular Mechanisms Underpinning Immunologic Diseases
Matthew Altman, MD, MPhil
Division of Allergy and Infectious Diseases
University of Washington
Matthew Altman, MD, MPhil
Division of Allergy and Infectious Diseases
University of Washington
β€4
π Unlocking the potential of circular RNA vaccines: a bioinformatics and computational biology perspective
π Journal: Biomarker Research (I.F.=11.5)
πPublish year: 2025
π§βπ»Authors: Xuyuan Liua,e β Siqi Wanga,e β Yunan Sun, ...
π’Universities: Peking University & University of Science and Technology of China & The First Affiliated Hospital of Guangzhou Medical University, China
π Study the paper
π²Channel: @Bioinformatics
#review #circular_rna #vaccine
π Journal: Biomarker Research (I.F.=11.5)
πPublish year: 2025
π§βπ»Authors: Xuyuan Liua,e β Siqi Wanga,e β Yunan Sun, ...
π’Universities: Peking University & University of Science and Technology of China & The First Affiliated Hospital of Guangzhou Medical University, China
π Study the paper
π²Channel: @Bioinformatics
#review #circular_rna #vaccine
β€6π1
π Systematic Review of Phylogenetic Analysis Techniques for RNA Viruses Using Bioinformatics
π Journal: International Journal of Molecular Sciences (I.F.=4.9) Q1
πPublish year: 2025
π§βπ»Authors: Irena Wadas & InΓͺs Domingues
π’Universities: Polytechnic University of Coimbra & Research Centre of the Portuguese Institute of Oncology of Porto (CI-IPOP), Portugal
π Study the paper
π²Channel: @Bioinformatics
#review #Phylogenetic #rna #virus
π Journal: International Journal of Molecular Sciences (I.F.=4.9) Q1
πPublish year: 2025
π§βπ»Authors: Irena Wadas & InΓͺs Domingues
π’Universities: Polytechnic University of Coimbra & Research Centre of the Portuguese Institute of Oncology of Porto (CI-IPOP), Portugal
π Study the paper
π²Channel: @Bioinformatics
#review #Phylogenetic #rna #virus
β€4π1
π Large language models transform biological research: from architecture to utilization
π Journal: Science China Information Sciences (I.F.=7.6) Q1
πPublish year: 2025
π§βπ»Authors: Tao Wang & Zeyu Luo
π’Universities: Northwestern Polytechnical University & Northeast Forestry University, China
π Study the paper
π²Channel: @Bioinformatics
#review #llm #ai
π Journal: Science China Information Sciences (I.F.=7.6) Q1
πPublish year: 2025
π§βπ»Authors: Tao Wang & Zeyu Luo
π’Universities: Northwestern Polytechnical University & Northeast Forestry University, China
π Study the paper
π²Channel: @Bioinformatics
#review #llm #ai
β€4π1π₯1π1π1
π½ Deep learning in drug discovery
π Watch
π²Channel: @Bioinformatics
#video #deep_learning #drug
π Watch
π²Channel: @Bioinformatics
#video #deep_learning #drug
YouTube
Explaining the βblack boxβ: deep learning in drug discovery
Recent years have seen a remarkable rise in the number and scope of artificial intelligence and machine learning (especially deep learning) algorithms for small molecule discovery. But how can these methods provide new and transformative insights into ourβ¦
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π Biclustering in bioinformatics using big data and High Performance Computing applications: challenges and perspectives, a review
π Journal: Supercomputing (I.F.=2.7)
πPublish year: 2025
π§βπ»Authors: Aurelio LΓ³pez-FernΓ‘ndez, Francisco A. Gomez-Vela, Domingo S. Rodriguez-Baena, ...
π’Universities: Universidad de Sevilla, Universidad Pablo de Olavide, Universidad Pablo de Olavide, Universidade da CoruΓ±a, Spain - University of Hamburg, Germany
π Study the paper
π²Channel: @Bioinformatics
#review #biclustering #clustering #hpc
π Journal: Supercomputing (I.F.=2.7)
πPublish year: 2025
π§βπ»Authors: Aurelio LΓ³pez-FernΓ‘ndez, Francisco A. Gomez-Vela, Domingo S. Rodriguez-Baena, ...
π’Universities: Universidad de Sevilla, Universidad Pablo de Olavide, Universidad Pablo de Olavide, Universidade da CoruΓ±a, Spain - University of Hamburg, Germany
π Study the paper
π²Channel: @Bioinformatics
#review #biclustering #clustering #hpc
β€3π1