Abstract: The present disclosure relates to vectors for cloning and expressing genetic material including but not limiting to antibody gene or parts thereof and methods of generating said vectors. Said vectors express the antibody genes in different formats such as Fab or scFv as a part of intertransfer system, intratransfer system or direct cloning and expression in individual display systems. In particular, phage display technology is used to clone and screen potential antibody genes in phagemid which is followed by the transfer of said genes to yeast vector for further screening and identification of lead molecules against antigens. The present vectors have numerous advantages including uniquely designed inserts/expression cassettes resulting in efficient and smooth transfer of clonal population from phage to yeast vectors resulting in efficient library preparation and identification of lead molecules.

Abstract: The present disclosure relates to a method of generating an antibody library, not limiting to a human naïve antibody gene expression library encompassing a pool of nucleic acid sequences derived from a natural antibody repertoire comprising humoral immunity from healthy and genetically diverse human populations. More specifically, the method employs a combination of phage and/or yeast antibody surface display concept which allows to screen large antibody library size and facilitates better folding of antibody structure. The present disclosure also relates to a human naïve antibody library generated by employing the process of the present disclosure, a set of primers employed in the method and application(s) of said antibody library.

Abstract: The present disclosure relates to a method of generating an antibody library, not limiting to a synthetic antibody gene expression library built on pool of consensus nucleic acid sequences by using codon replacement technology. The present disclosure also relates to a synthetic antibody library generated by employing the method of the present disclosure and application(s) of said antibody library.

Abstract: Embodiments of the present disclosure pertain to systems and method for extracting data from an image. In one embodiment, a method of extracting data from an image comprises receiving, from an optical character recognition (OCR) system, OCR text in response to sending an image to the OCR system. The OCR text comprises a plurality of lines of text. Each line of text is classified as either a line item or not a line item using a machine learning algorithm, and a plurality of data fields are extracted from each line of text classified as a line item.

Abstract: Embodiments of the present disclosure pertain to systems and method for extracting data from an image. In one embodiment, a method of extracting data from an image comprises receiving, from an optical character recognition (OCR) system, OCR text in response to sending an image to the OCR system. The OCR text comprises a plurality of lines of text. Each line of text is classified as either a line item or not a line item using a machine learning algorithm, and a plurality of data fields are extracted from each line of text classified as a line item.

Abstract: The present disclosure relates to a method of generating an antibody library, not limiting to a human naïve antibody gene expression library encompassing a pool of nucleic acid sequences derived from a natural antibody repertoire comprising humoral immunity from healthy and genetically diverse human populations. More specifically, the method employs a combination of phage and/or yeast antibody surface display concept which allows to screen large antibody library size and facilitates better folding of antibody structure. The present disclosure also relates to a human naïve antibody library generated by employing the process of the present disclosure, a set of primers employed in the method and application(s) of said antibody library.

Abstract: The present disclosure relates to a method of generating an antibody library, not limiting to a synthetic antibody gene expression library built on pool of consensus nucleic acid sequences by using codon replacement technology. The present disclosure also relates to a synthetic antibody library generated by employing the method of the present disclosure and application(s) of said antibody library.

Abstract: Embodiments of the present disclosure pertain to systems and method for extracting data from an image. In one embodiment, a method of extracting data from an image comprises receiving, from an optical character recognition (OCR) system, OCR text in response to sending an image to the OCR system. The OCR text comprises a plurality of lines of text. Each line of text is classified as either a line item or not a line item using a machine learning algorithm, and a plurality of data fields are extracted from each line of text classified as a line item.

Abstract: The present disclosure relates to vectors for cloning and expressing genetic material including but not limiting to antibody gene or parts thereof and methods of generating said vectors. Said vectors express the antibody genes in different formats such as Fab or scFv as a part of intertransfer system, intratransfer system or direct cloning and expression in individual display systems. In particular, phage display technology is used to clone and screen potential antibody genes in phagemid which is followed by the transfer of said genes to yeast vector for further screening and identification of lead molecules against antigens. The present vectors have numerous advantages including uniquely designed inserts/expression cassettes resulting in efficient and smooth transfer of clonal population from phage to yeast vectors resulting in efficient library preparation and identification of lead molecules.