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Sun Pharma
enters into agreement with VLife

Knowledge services
An extension to your in-house resources

The key deliverable of our Knowledge Services is to help scientists accelerate research programs and save on experimental lab effort through improved design, prioritization of work and creating knowledge that enables more informed decision making. VLife's knowledge services have saved over 40% of time and cost in experimental research through expertise in 'what-if' scenario studies, virtual screening, protein modeling assisted molecular design and predictive services for activity and ADMET. These are representative areas only and we will be glad to discuss specialized challenges and how our computational discovery expertise can help solve such challenges.

Our team of scientists, project management experts, statisticians, technology experts and domain specialists have a strong body of work in assisting customers in a wide range of industry sectors. The customers get value in engaging our Knowledge Services from our expertise in use of computational technologies, our keen awareness of technology, which is critical for right decisions and our methodologies which ensure minimization of false positives and false negatives.

For us, the success lies in the saving our clients make in their experimental lab effort. We provide wide choice of engagement models and help choose one that is most optimal for the scope of work a project demands.

Connect with VLife Expert to know more about this offering, understand the expertise available at VLife and discuss your specific requirements.

Knowledge Services
VLife services track record
VLife’s research team has over 300 man years of research experience. VLife Research Services is credited with:

  •  Design and discovery of 3 NCEs
  •  7 new indication discoveries
  •  Several activity specific research
Some representative activities where our Knowledge Services can help are:

  •  Fragment based molecule design
  •  Focused virtual library design
  •  Protein – protein interaction studies
  • Compounds prioritization
  •  Pharmacophore guided molecule design
  •  Scaffold hopping
  •  Structure based search
  •  Data search and mining
  •  ‘What-if’ scenario analysis
Our expertise in computational discovery
Success with computation technology requires awareness of not only its strengths but also of the areas where it needs augmentation from other approaches. Being developers of computational technologies, we have proved our expertise by creating IP in 3 NCE classes and 7 new indication discoveries.
Wide diversity of experience
We cater to a variety of sectors and within them, a diversity of areas. e.g. in pharmaceuticals, we have successfully delivered discovery projects in oncology, anti-fungal, diabetes, CNS etc.
State-of-art technology portfolio
Clients benefit from the whole range of VLife's technologies having validated algorithms, published innovations and efficient workflows which are accessible to clients through VLife services.
In-house custom development skills
Generic technologies sometimes are inadequate or inefficient in complex research. For such needs, our in-house team has skills to develop custom technologies ensuring reliable research.
Case studies: VLife services
Homology modeling Homology modeling using BioPredicta View
Anti-cancer : AKT1 QSAR model Anti-cancer : AKT1 QSAR model development View
Enzymes Application of enzymes to enhance drug action View
Research services
NCE discovery & optimization
Augment your candidate pipeline
New Indication discovery
For Product Lifecycle Management
Exploring shelf
Creating value from sunk cost
Go - no go decision support
For informed investment decision
Knowledge services
Virtual screening
Focus on what has potential
Protein modeling & docking
Structure based molecule design
QSAR modeling
Ligand based molecule design
Activity/ Tox/ ADME prediction
Early stage knowledge
Technology services
Custom development
Research automation
Idea -> Algorithm -> Software
Database management
Support center
Request for proposal
Reach VLife Expert
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