OxUppBio

19/05/2026

Seminar Title: “Spatial Proteomics Imaging Tools for Advancing Cancer Diagnostics”
Registration Code: OUC26-06-27
Links:
https://forms.gle/ckaJ2msokWYJc4dP9

27/04/2026

OxUpp Career Seminar: "Life Science Career Opportunities Outside Academic"
Seminar Registration Code: OUCH26-05-09
Registration Links: https://forms.gle/ckaJ2msokWYJc4dP9
https://www.oxuppcareerhub.com/register-for-the-seminar-workshop-career-path-talk

27/04/2026

Seminar Tiitle: "Challenges of the Bangladeshi Pharma Market and Strategies to Overcome"
Registration Code & Links: OUC26-05-05
https://forms.gle/ckaJ2msokWYJc4dP9
https://www.oxuppcareerhub.com/register-for-the-seminar-workshop-career-path-talk
https://pharmaprecision.net/contact

Speaker Profile: Md. Rajaul Karim is a seasoned pharmaceutical professional with over 20 years of experience in pharmaceutical marketing, sales strategy, business development, and project management within Bangladesh’s dynamic healthcare industry.
Currently serving as Senior Marketing Manager at DBL Pharmaceuticals Ltd., he brings extensive practical insight into market competition, brand strategy, portfolio management, and commercial ex*****on. Over the course of his career, he has held key roles in leading organizations including Bio-Pharma, Square Pharmaceuticals, Orion Pharma, and DBL Pharmaceuticals, contributing significantly to market expansion and strategic growth initiatives.
With a strong academic foundation combining pharmacy and business leadership, Mr. Karim offers valuable perspectives on the current challenges of the Bangladeshi pharmaceutical market and effective strategic approaches to overcome them. His experience makes him a respected voice for professionals and future leaders in the pharma sector.

26/04/2026

Python Coding of Machine Learning & Artificial Intelligence for Molecular Dynamic Simulation upto 1000 ns for Drug Discovery.

25/04/2026

Python Machine Learning & Artificial Intelligence for Compounds Database preparation & Cleaning for Drug Discovery.

25/04/2026

Python Machine Learning & Artificial Intelligence for ADMET Analysis for Drug Discovery.

24/04/2026

22/04/2026

Shout out to my newest followers! Excited to have you onboard! Enamul Kabir Sharon, Md Alim Al-razi, Md. Ashiqul Islam, Md Arif Hossain, Abir Hasan, Mohammed Zubayer, Mahfuzur Rahman, Khaled Saifullah Ridwan, Khandakar Nasim Ahammed Nahid, Rashed Mossaruf, Maksudul Haque, Akon Bin Kawsar, Mohammad Faisal, Masud Rana, Abdullah Al Rafi, Ahmed Abo Bakr, Nurhossain, Azizur Rahman, Sakib Al Hasan Rafi, Riaz Uddin, Nazmul Haque, Md Robiul Islam, Nabiha Ahmed, Pronoy Chowdhury, Mithila Bhowmik, S M Samith, Miftahul Zannat Chowdhury, Jiniya Sharma, Imam Mobashir Mohammad, Ahm Khurshid Alam Ripon, Jahangir Alam Khandakar

19/04/2026

Scientists Stunned by a Fundamentally New Mechanism of DNA Synthesis

A recent study conducted by researchers at Stanford University, led by biochemist Alex Gao and published in the journal Science, has unveiled a previously unknown mechanism of DNA synthesis in bacteria. This discovery challenges long-standing principles in molecular biology and introduces a novel paradigm in our understanding of genetic information flow.

The findings have drawn significant attention from leading scientists, including Philip Kranzusch and Adi Millman, both of whom described the work as groundbreaking and conceptually transformative.

Traditionally, DNA synthesis has been understood to strictly follow template-dependent mechanisms. According to the Central Dogma of Molecular Biology, genetic information flows from DNA to RNA to protein, with DNA replication requiring a pre-existing nucleic acid template. Enzymes such as DNA polymerases synthesize new DNA strands based on complementary base-pairing rules (A–T and G–C).
Until now, it was widely accepted that DNA could not be synthesized without a DNA or RNA template.

The Stanford team identified a bacterial defense system known as DRT3, which enables DNA synthesis in the absence of a nucleic acid template. This system appears to function as part of a broader antiviral defense mechanism against bacteriophages.

Mechanistic Overview
1. Upon viral (phage) infection, bacteria activate the DRT3 defense system.
2. The system consists of two enzymatic components:
(a) One enzyme follows conventional template-dependent synthesis using RNA.
(b) The second enzyme, Drt3b, exhibits a unique and unconventional function.
4. Drt3b synthesizes DNA without relying on a DNA or RNA template.
5. Instead, the enzyme utilizes its own three-dimensional protein structure as an internal guide.
6. This indicates that structural information encoded in proteins can directly dictate DNA sequence formation.

The biological role of this atypical DNA remains under investigation. However, current hypotheses suggest that this “non-canonical” DNA may contribute to bacterial antiviral defense through:

1. Acting as a molecular decoy or sponge, interfering with viral replication
2. Enhancing immune recognition of invading genetic material

Although these functions are not yet fully confirmed, they point to a sophisticated and previously unrecognized layer of microbial immunity.

This discovery represents a profound shift in our understanding of biological information flow. It suggests that the relationship between proteins and nucleic acids may be more dynamic than previously thought.

Potential applications include:

1. Custom DNA synthesis guided by protein design
2. Development of DNA-based biomaterials (e.g., hydrogels)
3. Advanced tools in biotechnology, synthetic biology, and drug discovery
4. Expansion of genome engineering technologies beyond systems like CRISPR

This study reveals that DNA synthesis is not exclusively dependent on nucleic acid templates. Instead, under certain conditions, proteins themselves can act as instructive frameworks for DNA formation.

This finding does not overturn the central dogma but rather expands its boundaries, highlighting the remarkable versatility of biological systems. It also suggests that microbial life harbors many undiscovered mechanisms that could redefine the foundations of molecular biology.

16/04/2026

🎓 Congratulations to the OxUppBio Participants of Batch-1!

We are proud to celebrate the successful completion of the Hands-on Workshop on AI & Machine Learning in Drug Discovery & Life Science, held from 28 February – 3 April 2026.

10-Module Level-1 Training Program was designed to introduce participants to the foundations and practical applications of Artificial Intelligence and Machine Learning in modern drug discovery and life sciences research, supporting the development of future-ready research skills.

👏 Mentors & Instructors:
Dr. Rasel Al-Amin
Dr. Kazi Masum Sadique
👏 Research Assistants:
Dr. Bayezid Mahmud
Sohel Rana
👏 Batch-1 Participants (10 Selected)
Alok Kumer
Mirza Nafeul Islam
Nadia Nowrin
Deri Damien Hagidok
Md Mostafizur Rahman
Ashish Biswas
Abdullah Al Rafi
Samir Kumar Biswas
Shohayeb Hossain Saif
Tusha Erin Akhi

Your dedication, curiosity, and commitment to learning emerging technologies in AI-driven biomedical research are truly inspiring. We look forward to seeing your continued contributions to innovation in drug discovery and life sciences.

"Empowering Future Researchers in AI-Driven Drug Discovery & Life Sciences" OxUppBio